Feb 13, 2023

200-500 Word Example Essays about Technology

Got an essay assignment about technology check out these examples to inspire you.

Technology is a rapidly evolving field that has completely changed the way we live, work, and interact with one another. Technology has profoundly impacted our daily lives, from how we communicate with friends and family to how we access information and complete tasks. As a result, it's no surprise that technology is a popular topic for students writing essays.

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This blog post aims to provide readers with various example essays on technology, all generated by Jenni.ai. These essays will be a valuable resource for students looking for inspiration or guidance as they work on their essays. By reading through these example essays, students can better understand how technology can be approached and discussed in an essay.

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The Impact of Technology on Society and Culture

Introduction:.

Technology has become an integral part of our daily lives and has dramatically impacted how we interact, communicate, and carry out various activities. Technological advancements have brought positive and negative changes to society and culture. In this article, we will explore the impact of technology on society and culture and how it has influenced different aspects of our lives.

Positive impact on communication:

Technology has dramatically improved communication and made it easier for people to connect from anywhere in the world. Social media platforms, instant messaging, and video conferencing have brought people closer, bridging geographical distances and cultural differences. This has made it easier for people to share information, exchange ideas, and collaborate on projects.

Positive impact on education:

Students and instructors now have access to a multitude of knowledge and resources because of the effect of technology on education. Students may now study at their speed and from any location thanks to online learning platforms, educational applications, and digital textbooks.

Negative impact on critical thinking and creativity:

Technological advancements have resulted in a reduction in critical thinking and creativity. With so much information at our fingertips, individuals have become more passive in their learning, relying on the internet for solutions rather than logic and inventiveness. As a result, independent thinking and problem-solving abilities have declined.

Positive impact on entertainment:

Technology has transformed how we access and consume entertainment. People may now access a wide range of entertainment alternatives from the comfort of their own homes thanks to streaming services, gaming platforms, and online content makers. The entertainment business has entered a new age of creativity and invention as a result of this.

Negative impact on attention span:

However, the continual bombardment of information and technological stimulation has also reduced attention span and the capacity to focus. People are easily distracted and need help focusing on a single activity for a long time. This has hampered productivity and the ability to accomplish duties.

The Ethics of Artificial Intelligence And Machine Learning

The development of artificial intelligence (AI) and machine learning (ML) technologies has been one of the most significant technological developments of the past several decades. These cutting-edge technologies have the potential to alter several sectors of society, including commerce, industry, healthcare, and entertainment. 

As with any new and quickly advancing technology, AI and ML ethics must be carefully studied. The usage of these technologies presents significant concerns around privacy, accountability, and command. As the use of AI and ML grows more ubiquitous, we must assess their possible influence on society and investigate the ethical issues that must be taken into account as these technologies continue to develop.

What are Artificial Intelligence and Machine Learning?

Artificial Intelligence is the simulation of human intelligence in machines designed to think and act like humans. Machine learning is a subfield of AI that enables computers to learn from data and improve their performance over time without being explicitly programmed.

The impact of AI and ML on Society

The use of AI and ML in various industries, such as healthcare, finance, and retail, has brought many benefits. For example, AI-powered medical diagnosis systems can identify diseases faster and more accurately than human doctors. However, there are also concerns about job displacement and the potential for AI to perpetuate societal biases.

The Ethical Considerations of AI and ML

A. Bias in AI algorithms

One of the critical ethical concerns about AI and ML is the potential for algorithms to perpetuate existing biases. This can occur if the data used to train these algorithms reflects the preferences of the people who created it. As a result, AI systems can perpetuate these biases and discriminate against certain groups of people.

B. Responsibility for AI-generated decisions

Another ethical concern is the responsibility for decisions made by AI systems. For example, who is responsible for the damage if a self-driving car causes an accident? The manufacturer of the vehicle, the software developer, or the AI algorithm itself?

C. The potential for misuse of AI and ML

AI and ML can also be used for malicious purposes, such as cyberattacks and misinformation. The need for more regulation and oversight in developing and using these technologies makes it difficult to prevent misuse.

The developments in AI and ML have given numerous benefits to humanity, but they also present significant ethical concerns that must be addressed. We must assess the repercussions of new technologies on society, implement methods to limit the associated dangers, and guarantee that they are utilized for the greater good. As AI and ML continue to play an ever-increasing role in our daily lives, we must engage in an open and frank discussion regarding their ethics.

The Future of Work And Automation

Rapid technological breakthroughs in recent years have brought about considerable changes in our way of life and work. Concerns regarding the influence of artificial intelligence and machine learning on the future of work and employment have increased alongside the development of these technologies. This article will examine the possible advantages and disadvantages of automation and its influence on the labor market, employees, and the economy.

The Advantages of Automation

Automation in the workplace offers various benefits, including higher efficiency and production, fewer mistakes, and enhanced precision. Automated processes may accomplish repetitive jobs quickly and precisely, allowing employees to concentrate on more complex and creative activities. Additionally, automation may save organizations money since it removes the need to pay for labor and minimizes the danger of workplace accidents.

The Potential Disadvantages of Automation

However, automation has significant disadvantages, including job loss and income stagnation. As robots and computers replace human labor in particular industries, there is a danger that many workers may lose their jobs, resulting in higher unemployment and more significant economic disparity. Moreover, if automation is not adequately regulated and managed, it might lead to stagnant wages and a deterioration in employees' standard of life.

The Future of Work and Automation

Despite these difficulties, automation will likely influence how labor is done. As a result, firms, employees, and governments must take early measures to solve possible issues and reap the rewards of automation. This might entail funding worker retraining programs, enhancing education and skill development, and implementing regulations that support equality and justice at work.

IV. The Need for Ethical Considerations

We must consider the ethical ramifications of automation and its effects on society as technology develops. The impact on employees and their rights, possible hazards to privacy and security, and the duty of corporations and governments to ensure that automation is utilized responsibly and ethically are all factors to be taken into account.

Conclusion:

To summarise, the future of employment and automation will most certainly be defined by a complex interaction of technological advances, economic trends, and cultural ideals. All stakeholders must work together to handle the problems and possibilities presented by automation and ensure that technology is employed to benefit society as a whole.

The Role of Technology in Education

Introduction.

Nearly every part of our lives has been transformed by technology, and education is no different. Today's students have greater access to knowledge, opportunities, and resources than ever before, and technology is becoming a more significant part of their educational experience. Technology is transforming how we think about education and creating new opportunities for learners of all ages, from online courses and virtual classrooms to instructional applications and augmented reality.

Technology's Benefits for Education

The capacity to tailor learning is one of technology's most significant benefits in education. Students may customize their education to meet their unique needs and interests since they can access online information and tools. 

For instance, people can enroll in online classes on topics they are interested in, get tailored feedback on their work, and engage in virtual discussions with peers and subject matter experts worldwide. As a result, pupils are better able to acquire and develop the abilities and information necessary for success.

Challenges and Concerns

Despite the numerous advantages of technology in education, there are also obstacles and considerations to consider. One issue is the growing reliance on technology and the possibility that pupils would become overly dependent on it. This might result in a lack of critical thinking and problem-solving abilities, as students may become passive learners who only follow instructions and rely on technology to complete their assignments.

Another obstacle is the digital divide between those who have access to technology and those who do not. This division can exacerbate the achievement gap between pupils and produce uneven educational and professional growth chances. To reduce these consequences, all students must have access to the technology and resources necessary for success.

In conclusion, technology is rapidly becoming an integral part of the classroom experience and has the potential to alter the way we learn radically. 

Technology can help students flourish and realize their full potential by giving them access to individualized instruction, tools, and opportunities. While the benefits of technology in the classroom are undeniable, it's crucial to be mindful of the risks and take precautions to guarantee that all kids have access to the tools they need to thrive.

The Influence of Technology On Personal Relationships And Communication 

Technological advancements have profoundly altered how individuals connect and exchange information. It has changed the world in many ways in only a few decades. Because of the rise of the internet and various social media sites, maintaining relationships with people from all walks of life is now simpler than ever. 

However, concerns about how these developments may affect interpersonal connections and dialogue are inevitable in an era of rapid technological growth. In this piece, we'll discuss how the prevalence of digital media has altered our interpersonal connections and the language we use to express ourselves.

Direct Effect on Direct Interaction:

The disruption of face-to-face communication is a particularly stark example of how technology has impacted human connections. The quality of interpersonal connections has suffered due to people's growing preference for digital over human communication. Technology has been demonstrated to reduce the usage of nonverbal signs such as facial expressions, tone of voice, and other indicators of emotional investment in the connection.

Positive Impact on Long-Distance Relationships:

Yet there are positives to be found as well. Long-distance relationships have also benefited from technological advancements. The development of technologies such as video conferencing, instant messaging, and social media has made it possible for individuals to keep in touch with distant loved ones. It has become simpler for individuals to stay in touch and feel connected despite geographical distance.

The Effects of Social Media on Personal Connections:

The widespread use of social media has had far-reaching consequences, especially on the quality of interpersonal interactions. Social media has positive and harmful effects on relationships since it allows people to keep in touch and share life's milestones.

Unfortunately, social media has made it all too easy to compare oneself to others, which may lead to emotions of jealousy and a general decline in confidence. Furthermore, social media might cause people to have inflated expectations of themselves and their relationships.

A Personal Perspective on the Intersection of Technology and Romance

Technological advancements have also altered physical touch and closeness. Virtual reality and other technologies have allowed people to feel physical contact and familiarity in a digital setting. This might be a promising breakthrough, but it has some potential downsides. 

Experts are concerned that people's growing dependence on technology for intimacy may lead to less time spent communicating face-to-face and less emphasis on physical contact, both of which are important for maintaining good relationships.

In conclusion, technological advancements have significantly affected the quality of interpersonal connections and the exchange of information. Even though technology has made it simpler to maintain personal relationships, it has chilled interpersonal interactions between people. 

Keeping tabs on how technology is changing our lives and making adjustments as necessary is essential as we move forward. Boundaries and prioritizing in-person conversation and physical touch in close relationships may help reduce the harm it causes.

The Security and Privacy Implications of Increased Technology Use and Data Collection

The fast development of technology over the past few decades has made its way into every aspect of our life. Technology has improved many facets of our life, from communication to commerce. However, significant privacy and security problems have emerged due to the broad adoption of technology. In this essay, we'll look at how the widespread use of technological solutions and the subsequent explosion in collected data affects our right to privacy and security.

Data Mining and Privacy Concerns

Risk of Cyber Attacks and Data Loss

The Widespread Use of Encryption and Other Safety Mechanisms

The Privacy and Security of the Future in a Globalized Information Age

Obtaining and Using Individual Information

The acquisition and use of private information is a significant cause for privacy alarm in the digital age. Data about their customers' online habits, interests, and personal information is a valuable commodity for many internet firms. Besides tailored advertising, this information may be used for other, less desirable things like identity theft or cyber assaults.

Moreover, many individuals need to be made aware of what data is being gathered from them or how it is being utilized because of the lack of transparency around gathering personal information. Privacy and data security have become increasingly contentious as a result.

Data breaches and other forms of cyber-attack pose a severe risk.

The risk of cyber assaults and data breaches is another big issue of worry. More people are using more devices, which means more opportunities for cybercriminals to steal private information like credit card numbers and other identifying data. This may cause monetary damages and harm one's reputation or identity.

Many high-profile data breaches have occurred in recent years, exposing the personal information of millions of individuals and raising serious concerns about the safety of this information. Companies and governments have responded to this problem by adopting new security methods like encryption and multi-factor authentication.

Many businesses now use encryption and other security measures to protect themselves from cybercriminals and data thieves. Encryption keeps sensitive information hidden by encoding it so that only those possessing the corresponding key can decipher it. This prevents private information like bank account numbers or social security numbers from falling into the wrong hands.

Firewalls, virus scanners, and two-factor authentication are all additional security precautions that may be used with encryption. While these safeguards do much to stave against cyber assaults, they are not entirely impregnable, and data breaches are still possible.

The Future of Privacy and Security in a Technologically Advanced World

There's little doubt that concerns about privacy and security will persist even as technology improves. There must be strict safeguards to secure people's private information as more and more of it is transferred and kept digitally. To achieve this goal, it may be necessary to implement novel technologies and heightened levels of protection and to revise the rules and regulations regulating the collection and storage of private information.

Individuals and businesses are understandably concerned about the security and privacy consequences of widespread technological use and data collecting. There are numerous obstacles to overcome in a society where technology plays an increasingly important role, from acquiring and using personal data to the risk of cyber-attacks and data breaches. Companies and governments must keep spending money on security measures and working to educate people about the significance of privacy and security if personal data is to remain safe.

In conclusion, technology has profoundly impacted virtually every aspect of our lives, including society and culture, ethics, work, education, personal relationships, and security and privacy. The rise of artificial intelligence and machine learning has presented new ethical considerations, while automation is transforming the future of work. 

In education, technology has revolutionized the way we learn and access information. At the same time, our dependence on technology has brought new challenges in terms of personal relationships, communication, security, and privacy.

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Politics and privacy, private-sector influence and big tech, state competition and conflict, author biography, how is technology changing the world, and how should the world change technology.

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Josephine Wolff; How Is Technology Changing the World, and How Should the World Change Technology?. Global Perspectives 1 February 2021; 2 (1): 27353. doi: https://doi.org/10.1525/gp.2021.27353

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Technologies are becoming increasingly complicated and increasingly interconnected. Cars, airplanes, medical devices, financial transactions, and electricity systems all rely on more computer software than they ever have before, making them seem both harder to understand and, in some cases, harder to control. Government and corporate surveillance of individuals and information processing relies largely on digital technologies and artificial intelligence, and therefore involves less human-to-human contact than ever before and more opportunities for biases to be embedded and codified in our technological systems in ways we may not even be able to identify or recognize. Bioengineering advances are opening up new terrain for challenging philosophical, political, and economic questions regarding human-natural relations. Additionally, the management of these large and small devices and systems is increasingly done through the cloud, so that control over them is both very remote and removed from direct human or social control. The study of how to make technologies like artificial intelligence or the Internet of Things “explainable” has become its own area of research because it is so difficult to understand how they work or what is at fault when something goes wrong (Gunning and Aha 2019) .

This growing complexity makes it more difficult than ever—and more imperative than ever—for scholars to probe how technological advancements are altering life around the world in both positive and negative ways and what social, political, and legal tools are needed to help shape the development and design of technology in beneficial directions. This can seem like an impossible task in light of the rapid pace of technological change and the sense that its continued advancement is inevitable, but many countries around the world are only just beginning to take significant steps toward regulating computer technologies and are still in the process of radically rethinking the rules governing global data flows and exchange of technology across borders.

These are exciting times not just for technological development but also for technology policy—our technologies may be more advanced and complicated than ever but so, too, are our understandings of how they can best be leveraged, protected, and even constrained. The structures of technological systems as determined largely by government and institutional policies and those structures have tremendous implications for social organization and agency, ranging from open source, open systems that are highly distributed and decentralized, to those that are tightly controlled and closed, structured according to stricter and more hierarchical models. And just as our understanding of the governance of technology is developing in new and interesting ways, so, too, is our understanding of the social, cultural, environmental, and political dimensions of emerging technologies. We are realizing both the challenges and the importance of mapping out the full range of ways that technology is changing our society, what we want those changes to look like, and what tools we have to try to influence and guide those shifts.

Technology can be a source of tremendous optimism. It can help overcome some of the greatest challenges our society faces, including climate change, famine, and disease. For those who believe in the power of innovation and the promise of creative destruction to advance economic development and lead to better quality of life, technology is a vital economic driver (Schumpeter 1942) . But it can also be a tool of tremendous fear and oppression, embedding biases in automated decision-making processes and information-processing algorithms, exacerbating economic and social inequalities within and between countries to a staggering degree, or creating new weapons and avenues for attack unlike any we have had to face in the past. Scholars have even contended that the emergence of the term technology in the nineteenth and twentieth centuries marked a shift from viewing individual pieces of machinery as a means to achieving political and social progress to the more dangerous, or hazardous, view that larger-scale, more complex technological systems were a semiautonomous form of progress in and of themselves (Marx 2010) . More recently, technologists have sharply criticized what they view as a wave of new Luddites, people intent on slowing the development of technology and turning back the clock on innovation as a means of mitigating the societal impacts of technological change (Marlowe 1970) .

At the heart of fights over new technologies and their resulting global changes are often two conflicting visions of technology: a fundamentally optimistic one that believes humans use it as a tool to achieve greater goals, and a fundamentally pessimistic one that holds that technological systems have reached a point beyond our control. Technology philosophers have argued that neither of these views is wholly accurate and that a purely optimistic or pessimistic view of technology is insufficient to capture the nuances and complexity of our relationship to technology (Oberdiek and Tiles 1995) . Understanding technology and how we can make better decisions about designing, deploying, and refining it requires capturing that nuance and complexity through in-depth analysis of the impacts of different technological advancements and the ways they have played out in all their complicated and controversial messiness across the world.

These impacts are often unpredictable as technologies are adopted in new contexts and come to be used in ways that sometimes diverge significantly from the use cases envisioned by their designers. The internet, designed to help transmit information between computer networks, became a crucial vehicle for commerce, introducing unexpected avenues for crime and financial fraud. Social media platforms like Facebook and Twitter, designed to connect friends and families through sharing photographs and life updates, became focal points of election controversies and political influence. Cryptocurrencies, originally intended as a means of decentralized digital cash, have become a significant environmental hazard as more and more computing resources are devoted to mining these forms of virtual money. One of the crucial challenges in this area is therefore recognizing, documenting, and even anticipating some of these unexpected consequences and providing mechanisms to technologists for how to think through the impacts of their work, as well as possible other paths to different outcomes (Verbeek 2006) . And just as technological innovations can cause unexpected harm, they can also bring about extraordinary benefits—new vaccines and medicines to address global pandemics and save thousands of lives, new sources of energy that can drastically reduce emissions and help combat climate change, new modes of education that can reach people who would otherwise have no access to schooling. Regulating technology therefore requires a careful balance of mitigating risks without overly restricting potentially beneficial innovations.

Nations around the world have taken very different approaches to governing emerging technologies and have adopted a range of different technologies themselves in pursuit of more modern governance structures and processes (Braman 2009) . In Europe, the precautionary principle has guided much more anticipatory regulation aimed at addressing the risks presented by technologies even before they are fully realized. For instance, the European Union’s General Data Protection Regulation focuses on the responsibilities of data controllers and processors to provide individuals with access to their data and information about how that data is being used not just as a means of addressing existing security and privacy threats, such as data breaches, but also to protect against future developments and uses of that data for artificial intelligence and automated decision-making purposes. In Germany, Technische Überwachungsvereine, or TÜVs, perform regular tests and inspections of technological systems to assess and minimize risks over time, as the tech landscape evolves. In the United States, by contrast, there is much greater reliance on litigation and liability regimes to address safety and security failings after-the-fact. These different approaches reflect not just the different legal and regulatory mechanisms and philosophies of different nations but also the different ways those nations prioritize rapid development of the technology industry versus safety, security, and individual control. Typically, governance innovations move much more slowly than technological innovations, and regulations can lag years, or even decades, behind the technologies they aim to govern.

In addition to this varied set of national regulatory approaches, a variety of international and nongovernmental organizations also contribute to the process of developing standards, rules, and norms for new technologies, including the International Organization for Standardization­ and the International Telecommunication Union. These multilateral and NGO actors play an especially important role in trying to define appropriate boundaries for the use of new technologies by governments as instruments of control for the state.

At the same time that policymakers are under scrutiny both for their decisions about how to regulate technology as well as their decisions about how and when to adopt technologies like facial recognition themselves, technology firms and designers have also come under increasing criticism. Growing recognition that the design of technologies can have far-reaching social and political implications means that there is more pressure on technologists to take into consideration the consequences of their decisions early on in the design process (Vincenti 1993; Winner 1980) . The question of how technologists should incorporate these social dimensions into their design and development processes is an old one, and debate on these issues dates back to the 1970s, but it remains an urgent and often overlooked part of the puzzle because so many of the supposedly systematic mechanisms for assessing the impacts of new technologies in both the private and public sectors are primarily bureaucratic, symbolic processes rather than carrying any real weight or influence.

Technologists are often ill-equipped or unwilling to respond to the sorts of social problems that their creations have—often unwittingly—exacerbated, and instead point to governments and lawmakers to address those problems (Zuckerberg 2019) . But governments often have few incentives to engage in this area. This is because setting clear standards and rules for an ever-evolving technological landscape can be extremely challenging, because enforcement of those rules can be a significant undertaking requiring considerable expertise, and because the tech sector is a major source of jobs and revenue for many countries that may fear losing those benefits if they constrain companies too much. This indicates not just a need for clearer incentives and better policies for both private- and public-sector entities but also a need for new mechanisms whereby the technology development and design process can be influenced and assessed by people with a wider range of experiences and expertise. If we want technologies to be designed with an eye to their impacts, who is responsible for predicting, measuring, and mitigating those impacts throughout the design process? Involving policymakers in that process in a more meaningful way will also require training them to have the analytic and technical capacity to more fully engage with technologists and understand more fully the implications of their decisions.

At the same time that tech companies seem unwilling or unable to rein in their creations, many also fear they wield too much power, in some cases all but replacing governments and international organizations in their ability to make decisions that affect millions of people worldwide and control access to information, platforms, and audiences (Kilovaty 2020) . Regulators around the world have begun considering whether some of these companies have become so powerful that they violate the tenets of antitrust laws, but it can be difficult for governments to identify exactly what those violations are, especially in the context of an industry where the largest players often provide their customers with free services. And the platforms and services developed by tech companies are often wielded most powerfully and dangerously not directly by their private-sector creators and operators but instead by states themselves for widespread misinformation campaigns that serve political purposes (Nye 2018) .

Since the largest private entities in the tech sector operate in many countries, they are often better poised to implement global changes to the technological ecosystem than individual states or regulatory bodies, creating new challenges to existing governance structures and hierarchies. Just as it can be challenging to provide oversight for government use of technologies, so, too, oversight of the biggest tech companies, which have more resources, reach, and power than many nations, can prove to be a daunting task. The rise of network forms of organization and the growing gig economy have added to these challenges, making it even harder for regulators to fully address the breadth of these companies’ operations (Powell 1990) . The private-public partnerships that have emerged around energy, transportation, medical, and cyber technologies further complicate this picture, blurring the line between the public and private sectors and raising critical questions about the role of each in providing critical infrastructure, health care, and security. How can and should private tech companies operating in these different sectors be governed, and what types of influence do they exert over regulators? How feasible are different policy proposals aimed at technological innovation, and what potential unintended consequences might they have?

Conflict between countries has also spilled over significantly into the private sector in recent years, most notably in the case of tensions between the United States and China over which technologies developed in each country will be permitted by the other and which will be purchased by other customers, outside those two countries. Countries competing to develop the best technology is not a new phenomenon, but the current conflicts have major international ramifications and will influence the infrastructure that is installed and used around the world for years to come. Untangling the different factors that feed into these tussles as well as whom they benefit and whom they leave at a disadvantage is crucial for understanding how governments can most effectively foster technological innovation and invention domestically as well as the global consequences of those efforts. As much of the world is forced to choose between buying technology from the United States or from China, how should we understand the long-term impacts of those choices and the options available to people in countries without robust domestic tech industries? Does the global spread of technologies help fuel further innovation in countries with smaller tech markets, or does it reinforce the dominance of the states that are already most prominent in this sector? How can research universities maintain global collaborations and research communities in light of these national competitions, and what role does government research and development spending play in fostering innovation within its own borders and worldwide? How should intellectual property protections evolve to meet the demands of the technology industry, and how can those protections be enforced globally?

These conflicts between countries sometimes appear to challenge the feasibility of truly global technologies and networks that operate across all countries through standardized protocols and design features. Organizations like the International Organization for Standardization, the World Intellectual Property Organization, the United Nations Industrial Development Organization, and many others have tried to harmonize these policies and protocols across different countries for years, but have met with limited success when it comes to resolving the issues of greatest tension and disagreement among nations. For technology to operate in a global environment, there is a need for a much greater degree of coordination among countries and the development of common standards and norms, but governments continue to struggle to agree not just on those norms themselves but even the appropriate venue and processes for developing them. Without greater global cooperation, is it possible to maintain a global network like the internet or to promote the spread of new technologies around the world to address challenges of sustainability? What might help incentivize that cooperation moving forward, and what could new structures and process for governance of global technologies look like? Why has the tech industry’s self-regulation culture persisted? Do the same traditional drivers for public policy, such as politics of harmonization and path dependency in policy-making, still sufficiently explain policy outcomes in this space? As new technologies and their applications spread across the globe in uneven ways, how and when do they create forces of change from unexpected places?

These are some of the questions that we hope to address in the Technology and Global Change section through articles that tackle new dimensions of the global landscape of designing, developing, deploying, and assessing new technologies to address major challenges the world faces. Understanding these processes requires synthesizing knowledge from a range of different fields, including sociology, political science, economics, and history, as well as technical fields such as engineering, climate science, and computer science. A crucial part of understanding how technology has created global change and, in turn, how global changes have influenced the development of new technologies is understanding the technologies themselves in all their richness and complexity—how they work, the limits of what they can do, what they were designed to do, how they are actually used. Just as technologies themselves are becoming more complicated, so are their embeddings and relationships to the larger social, political, and legal contexts in which they exist. Scholars across all disciplines are encouraged to join us in untangling those complexities.

Josephine Wolff is an associate professor of cybersecurity policy at the Fletcher School of Law and Diplomacy at Tufts University. Her book You’ll See This Message When It Is Too Late: The Legal and Economic Aftermath of Cybersecurity Breaches was published by MIT Press in 2018.

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  • Technology Essay

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Essay on Technology

The word "technology" and its uses have immensely changed since the 20th century, and with time, it has continued to evolve ever since. We are living in a world driven by technology. The advancement of technology has played an important role in the development of human civilization, along with cultural changes. Technology provides innovative ways of doing work through various smart and innovative means. 

Electronic appliances, gadgets, faster modes of communication, and transport have added to the comfort factor in our lives. It has helped in improving the productivity of individuals and different business enterprises. Technology has brought a revolution in many operational fields. It has undoubtedly made a very important contribution to the progress that mankind has made over the years.

The Advancement of Technology:

Technology has reduced the effort and time and increased the efficiency of the production requirements in every field. It has made our lives easy, comfortable, healthy, and enjoyable. It has brought a revolution in transport and communication. The advancement of technology, along with science, has helped us to become self-reliant in all spheres of life. With the innovation of a particular technology, it becomes part of society and integral to human lives after a point in time.

Technology is Our Part of Life:

Technology has changed our day-to-day lives. Technology has brought the world closer and better connected. Those days have passed when only the rich could afford such luxuries. Because of the rise of globalisation and liberalisation, all luxuries are now within the reach of the average person. Today, an average middle-class family can afford a mobile phone, a television, a washing machine, a refrigerator, a computer, the Internet, etc. At the touch of a switch, a man can witness any event that is happening in far-off places.  

Benefits of Technology in All Fields: 

We cannot escape technology; it has improved the quality of life and brought about revolutions in various fields of modern-day society, be it communication, transportation, education, healthcare, and many more. Let us learn about it.

Technology in Communication:

With the advent of technology in communication, which includes telephones, fax machines, cellular phones, the Internet, multimedia, and email, communication has become much faster and easier. It has transformed and influenced relationships in many ways. We no longer need to rely on sending physical letters and waiting for several days for a response. Technology has made communication so simple that you can connect with anyone from anywhere by calling them via mobile phone or messaging them using different messaging apps that are easy to download.

Innovation in communication technology has had an immense influence on social life. Human socialising has become easier by using social networking sites, dating, and even matrimonial services available on mobile applications and websites.

Today, the Internet is used for shopping, paying utility bills, credit card bills, admission fees, e-commerce, and online banking. In the world of marketing, many companies are marketing and selling their products and creating brands over the internet. 

In the field of travel, cities, towns, states, and countries are using the web to post detailed tourist and event information. Travellers across the globe can easily find information on tourism, sightseeing, places to stay, weather, maps, timings for events, transportation schedules, and buy tickets to various tourist spots and destinations.

Technology in the Office or Workplace:

Technology has increased efficiency and flexibility in the workspace. Technology has made it easy to work remotely, which has increased the productivity of the employees. External and internal communication has become faster through emails and apps. Automation has saved time, and there is also a reduction in redundancy in tasks. Robots are now being used to manufacture products that consistently deliver the same product without defect until the robot itself fails. Artificial Intelligence and Machine Learning technology are innovations that are being deployed across industries to reap benefits.

Technology has wiped out the manual way of storing files. Now files are stored in the cloud, which can be accessed at any time and from anywhere. With technology, companies can make quick decisions, act faster towards solutions, and remain adaptable. Technology has optimised the usage of resources and connected businesses worldwide. For example, if the customer is based in America, he can have the services delivered from India. They can communicate with each other in an instant. Every company uses business technology like virtual meeting tools, corporate social networks, tablets, and smart customer relationship management applications that accelerate the fast movement of data and information.

Technology in Education:

Technology is making the education industry improve over time. With technology, students and parents have a variety of learning tools at their fingertips. Teachers can coordinate with classrooms across the world and share their ideas and resources online. Students can get immediate access to an abundance of good information on the Internet. Teachers and students can access plenty of resources available on the web and utilise them for their project work, research, etc. Online learning has changed our perception of education. 

The COVID-19 pandemic brought a paradigm shift using technology where school-going kids continued their studies from home and schools facilitated imparting education by their teachers online from home. Students have learned and used 21st-century skills and tools, like virtual classrooms, AR (Augmented Reality), robots, etc. All these have increased communication and collaboration significantly. 

Technology in Banking:

Technology and banking are now inseparable. Technology has boosted digital transformation in how the banking industry works and has vastly improved banking services for their customers across the globe.

Technology has made banking operations very sophisticated and has reduced errors to almost nil, which were somewhat prevalent with manual human activities. Banks are adopting Artificial Intelligence (AI) to increase their efficiency and profits. With the emergence of Internet banking, self-service tools have replaced the traditional methods of banking. 

You can now access your money, handle transactions like paying bills, money transfers, and online purchases from merchants, and monitor your bank statements anytime and from anywhere in the world. Technology has made banking more secure and safe. You do not need to carry cash in your pocket or wallet; the payments can be made digitally using e-wallets. Mobile banking, banking apps, and cybersecurity are changing the face of the banking industry.

Manufacturing and Production Industry Automation:

At present, manufacturing industries are using all the latest technologies, ranging from big data analytics to artificial intelligence. Big data, ARVR (Augmented Reality and Virtual Reality), and IoT (Internet of Things) are the biggest manufacturing industry players. Automation has increased the level of productivity in various fields. It has reduced labour costs, increased efficiency, and reduced the cost of production.

For example, 3D printing is used to design and develop prototypes in the automobile industry. Repetitive work is being done easily with the help of robots without any waste of time. This has also reduced the cost of the products. 

Technology in the Healthcare Industry:

Technological advancements in the healthcare industry have not only improved our personal quality of life and longevity; they have also improved the lives of many medical professionals and students who are training to become medical experts. It has allowed much faster access to the medical records of each patient. 

The Internet has drastically transformed patients' and doctors’ relationships. Everyone can stay up to date on the latest medical discoveries, share treatment information, and offer one another support when dealing with medical issues. Modern technology has allowed us to contact doctors from the comfort of our homes. There are many sites and apps through which we can contact doctors and get medical help. 

Breakthrough innovations in surgery, artificial organs, brain implants, and networked sensors are examples of transformative developments in the healthcare industry. Hospitals use different tools and applications to perform their administrative tasks, using digital marketing to promote their services.

Technology in Agriculture:

Today, farmers work very differently than they would have decades ago. Data analytics and robotics have built a productive food system. Digital innovations are being used for plant breeding and harvesting equipment. Software and mobile devices are helping farmers harvest better. With various data and information available to farmers, they can make better-informed decisions, for example, tracking the amount of carbon stored in soil and helping with climate change.

Disadvantages of Technology:

People have become dependent on various gadgets and machines, resulting in a lack of physical activity and tempting people to lead an increasingly sedentary lifestyle. Even though technology has increased the productivity of individuals, organisations, and the nation, it has not increased the efficiency of machines. Machines cannot plan and think beyond the instructions that are fed into their system. Technology alone is not enough for progress and prosperity. Management is required, and management is a human act. Technology is largely dependent on human intervention. 

Computers and smartphones have led to an increase in social isolation. Young children are spending more time surfing the internet, playing games, and ignoring their real lives. Usage of technology is also resulting in job losses and distracting students from learning. Technology has been a reason for the production of weapons of destruction.

Dependency on technology is also increasing privacy concerns and cyber crimes, giving way to hackers.

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FAQs on Technology Essay

1. What is technology?

Technology refers to innovative ways of doing work through various smart means. The advancement of technology has played an important role in the development of human civilization. It has helped in improving the productivity of individuals and businesses.

2. How has technology changed the face of banking?

Technology has made banking operations very sophisticated. With the emergence of Internet banking, self-service tools have replaced the traditional methods of banking. You can now access your money, handle transactions, and monitor your bank statements anytime and from anywhere in the world. Technology has made banking more secure and safe.

3. How has technology brought a revolution in the medical field?

Patients and doctors keep each other up to date on the most recent medical discoveries, share treatment information, and offer each other support when dealing with medical issues. It has allowed much faster access to the medical records of each patient. Modern technology has allowed us to contact doctors from the comfort of our homes. There are many websites and mobile apps through which we can contact doctors and get medical help.

4. Are we dependent on technology?

Yes, today, we are becoming increasingly dependent on technology. Computers, smartphones, and modern technology have helped humanity achieve success and progress. However, in hindsight, people need to continuously build a healthy lifestyle, sorting out personal problems that arise due to technological advancements in different aspects of human life.

Essay on Technology – A Boon or Bane for Students

500+ words essay on technology for students.

In this essay on technology, we are going to discuss what technology is, what are its uses, and also what technology can do? First of all, technology refers to the use of technical and scientific knowledge to create, monitor, and design machinery. Also, technology helps in making other goods that aid mankind.

Essay on Technology – A Boon or Bane?

Experts are debating on this topic for years. Also, the technology covered a long way to make human life easier but the negative aspect of it can’t be ignored. Over the years technological advancement has caused a severe rise in pollution . Also, pollution has become a major cause of many health issues. Besides, it has cut off people from society rather than connecting them. Above all, it has taken away many jobs from the workers class.

Essay on technology

Familiarity between Technology and Science

As they are completely different fields but they are interdependent on each other. Also, it is due to science contribution we can create new innovation and build new technological tools. Apart from that, the research conducted in laboratories contributes a lot to the development of technologies. On the other hand, technology extends the agenda of science.

Vital Part of our Life

Regularly evolving technology has become an important part of our lives. Also, newer technologies are taking the market by storm and the people are getting used to them in no time. Above all, technological advancement has led to the growth and development of nations.

Negative Aspect of Technology

Although technology is a good thing, everything has two sides. Technology also has two sides one is good and the other is bad. Here are some negative aspects of technology that we are going to discuss.

Get the huge list of more than 500 Essay Topics and Ideas

With new technology the industrialization increases which give birth to many pollutions like air, water, soil, and noise. Also, they cause many health-related issues in animals, birds, and human beings.

Exhaustion of Natural Resources

New technology requires new resources for which the balance is disturbed. Eventually, this will lead to over-exploitation of natural resources which ultimately disturbs the balance of nature.

Unemployment

A single machine can replace many workers. Also, machines can do work at a constant pace for several hours or days without stopping. Due to this, many workers lost their job which ultimately increases unemployment .

Types of Technology

Generally, we judge technology on the same scale but in reality, technology is divided into various types. This includes information technology, industrial technology , architectural technology, creative technology and many more. Let’s discuss these technologies in brief.

Industrial Technology

This technology organizes engineering and manufacturing technology for the manufacturing of machines. Also, this makes the production process easier and convenient.

Creative Technology

This process includes art, advertising, and product design which are made with the help of software. Also, it comprises of 3D printers , virtual reality, computer graphics, and other wearable technologies.

Information Technology

This technology involves the use of telecommunication and computer to send, receive and store information. Internet is the best example of Information technology.

essay about high tech

FAQs on Essay on Technology

Q.1 What is Information technology?

A –  It is a form of technology that uses telecommunication and computer systems for study. Also, they send, retrieve, and store data.

Q.2 Is technology harmful to humans?

 A – No, technology is not harmful to human beings until it is used properly. But, misuses of technology can be harmful and deadly.

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High Tech and Low Life

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Published: May 19, 2020

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How to Write the Caltech Supplemental Essays 2023-2024

Caltech has four required supplemental essays, and three shorter optional essays, with word limits of 150, 100, and 50, respectively. Because Caltech is one of the most academically rigorous schools in the country, you want to be sure that your essays capture your intellectual and creative potential. In this post, we’ll break down each prompt so that you can know what you need to do to craft a response that truly shines.

Caltech Supplemental Essay Prompts

All applicants, required prompts.

Prompt 1: Because of the rigorous courses in the core curriculum , Caltech students don’t declare a major until the end of their first year. However, some students arrive knowing which academic fields and areas already most excite them, or which novel fields and areas they most want to explore.

If you had to choose an area of interest or two today, what would you choose? (There are dropdown menus from which you can choose up to two areas of interest.)

Why did you choose that area of interest (200 words).

Prompt 2: At Caltech, we investigate some of the most challenging, fundamental problems in science, technology, engineering, and mathematics. Identify and describe two STEM-related experiences from your high school years, either in or out of the classroom, and tell us how and why they activated your curiosity. What about them made you want to learn more and explore further? (100-200 words per experience)

Prompt 3: The creativity, inventiveness, and innovation of Caltech’s students, faculty, and researchers have won Nobel Prizes and put rovers on Mars , but Techers also imagine smaller scale innovations every day, from new ways to design solar cells to 3D printing dorm decor. How have you been an innovator in your own life? (200-250 words)

Prompt 4: Caltech’s mission – to cultivate learning, discovery, and innovation for the benefit of humanity – relies on its community members embracing fundamental Caltech values :

Openness and enthusiasm for having preconceptions challenged

Respect and appreciation for the idea that, while we are all members of the same community, the opportunities we’ve had to develop, showcase, and apply our talents have not been equal, passion for the ideal that science can and should meaningfully improve the lives of others, share what one or more of these values evokes for you. (200-400 words), all applicants, optional prompts.

Prompt 5: If there are aspects of your life or social or personal identity that you feel are not captured elsewhere in this application, please tell us about them. (150 words)

Prompt 6: When not surveying the stars, peering through microscopes, or running through marathons of coding, Caltech students pursue an eclectic array of interests that range from speed-cubing to participating in varsity athletics to reading romance novels. What is a favorite interest or hobby and why does it bring you joy? (100 words)

Prompt 7: Did you have a hard time narrowing it down to just one interest or hobby? We understand – Caltech students like to stay busy, too – tell us about another hobby or interest! (50 words)

Because of the rigorous courses in the core curriculum , Caltech students don’t declare a major until the end of their first year. However, some students arrive knowing which academic fields and areas already most excite them, or which novel fields and areas they most want to explore.

After you select your area(s) of interest, you are asked to provide the reasoning behind your choice(s). This is a fairly standard “Why This Major?” prompt . This straightforward prompt is intended to give the admissions committee a sense of what interests you, why it interests you, and why/how you plan on pursuing this interest in college and beyond.

Before we continue, we have to address the elephant in the room—what if you’re undecided?

The bad news is that you’re required to pick at least one area of interest on your application. The good news is that you aren’t contractually bound to the area you choose! In fact, “Every first-year student at Caltech takes the same classes during their first two terms; you won’t even declare your major until the end of your first year.”

Don’t worry if you haven’t figured out exactly what you want to do in college—many students haven’t! Look through the list of areas of interest and pick one that’s closely related to a hobby or pastime of yours so you’ll have something to write about.

If you do have an area of interest or desired major in mind, great! Pick that one for your essay.

Now that you’ve picked a subject, you may find it helpful to ponder the following questions before you begin crafting your response:

1) What are your sincere reasons for wanting to major in your chosen field?

Ideally, you will have picked a field in which you have a deep interest—one that you can talk about at length. You should have meaningful reasons for wanting to pursue your chosen field. If your primary motivation involves money, status, or pressure from your parents, you’re already off to a bad start. An essay that seems disingenuous or too self-serving will detract immensely from your application as a whole, so be sure to choose substantial reasons.

2) What are some specific examples of things you enjoy about this field of study?

When answering this question, aim to be as specific as you can. Anyone can write about liking “information and data sciences” or “biology,” so think of more narrow subtopics like “principal component analysis to reduce dataset dimensionality” or “identifying mitotic mutations in fruit flies.” If you’ve picked a topic you’re already passionate about and familiar with, talking about something specific you enjoy about it shouldn’t be too daunting.

3) How does this major serve your life and/or career goals?

You might not have the most detailed plan for your career and adult life, and that’s totally fine! However, it would be helpful if you had some idea of what you want to do in the future. Think of industries you would be able to work in with a degree in your chosen field. What is your dream job? How can this major contribute to your attainment of that job and success in the field?

4) What’s your favorite experience with this subject in school? What are the best parts of your experience with it outside the classroom?

5) Is there any recurring emotion or state of mind that you experience when exploring this field of study? What do you find appealing about that emotion or state of mind?

You can use your answers to questions 4 and 5 to recall some relevant anecdotes that may contribute to your response.

Once you’ve figured out the answers to the five aforementioned questions, you can begin planning a structure for your response. You may find it helpful to break your essay into two principal parts:

  • The experiences that fostered and increased your interest in this field (as well as your emotional and personal connection to your chosen major)
  • What you hope to do in the future, both at Caltech and in your career

Now, you should do some research on Caltech’s website to find some unique aspects of your chosen major that you can write about. Check out Caltech’s list of majors , as it has links that will lead you to each major’s respective webpage. Also consult their lists of faculty members and research facilities to see what work Caltech is doing in your area of interest.

For example, consider a hypothetical student who wants to pursue bioengineering with a particular interest in stem cell research. She might begin with an anecdote about how her father was a participant in a clinical trial for stem cell therapy after his spinal cord treatment. Perhaps seeing the potential of stem cell treatment opened up a new world for her, which fostered a deeper interest in biology and bioengineering than she had ever had before.

She might write about her high school experiences with biology classes, her intensive preparation for the AP Biology exam, and the bioengineering publications she now likes to read in her free time. She can then transition into a discussion of what kind of research she would like to be a part of at Caltech. A faculty member she can talk about specifically is Professor Magdalena Zernicka-Goetz, whose lab used stem cells last year to create model mouse embryos “that have beating hearts, as well as the foundations for a brain and all of the other organs in the mouse body.”

No matter how unique, weird, or quirky you think your interests are, there will probably be a major or research group at Caltech that can cultivate them. Don’t be afraid to show how unique you are as an individual—that’s the point of supplemental essays!

At Caltech, we investigate some of the most challenging, fundamental problems in science, technology, engineering, and mathematics. Identify and describe two STEM-related experiences from your high school years, either in or out of the classroom, and tell us how and why they activated your curiosity. What about them made you want to learn more and explore further? (100-200 words per experience)

This prompt is supposed to gauge your interest in and experiences with STEM, both in school and in your personal life. Writing a successful essay will ideally show the admissions committee a few things:

  • You are serious about pursuing STEM in college and beyond.
  • You have hands-on experience in STEM.
  • You have at least some idea of what to expect from a STEM-based education at Caltech.

You’ll probably know if an experience is related to STEM at first glance. Nevertheless, before you begin writing your responses to this prompt, you should make sure you have a handle on what exactly STEM is, even if you think you understand it fully.

As a quick refresher, STEM stands for Science, Technology, Engineering, and Math. It heavily emphasizes analytical and critical thinking skills, scientific literacy, and domain-specific hard skills that are essential to many career paths.

Even though the prompt specifies that you can write about experiences both within and outside the classroom, you might find the tips in CollegeVine’s guide to the extracurricular activities essay helpful.

If you have any obvious STEM experience, picking some events should be fairly straightforward. Think about the experiences you’ve had with science fairs, robotics clubs, biology or chemistry classes, etc. Narrow down your experiences to the ones that had the most significant impact on your interest in STEM. If you write about an experience that you didn’t have too much emotional investment in, you might inadvertently express a tepid interest in STEM as a whole.

If you only took one science class in high school and didn’t participate in any STEM-related extracurriculars, don’t fret! Feel free to write about two experiences from the same class. You might even be able to relate some work experience to STEM.

For example, perhaps you worked alongside a pharmacist during high school. Some people consider pharmacy to be more medical and less STEM-related, but the field of pharmacology is indisputably a branch of biology and chemistry. Don’t be afraid to bend some definitions when identifying meaningful STEM experiences you’ve had.

To help you identify your two experiences, mull over a few questions:

1) What is your favorite STEM-related activity? If you don’t have a good STEM activity, which of your non-STEM activities can be linked to STEM logically?

2) What about this activity generated your interest in STEM? Why did it make you curious and how did your participation in it increase your interest?

3) What went through your mind as you participated in this activity?

4) Have you developed or strengthened any specific interests because of this activity? If so, what are they and how have they changed over time? For example, you might have been interested in chemistry in general, but this particular activity focused your attention on metal alloys.

5) Are there any specific STEM-related skills that you have developed as a result of participating in this activity? Think about hard skills like chemical titration, building robots, testing the pH of substances, etc.

Once you’ve decided on your two activities, you can begin writing your responses. For each activity, you should address each point of the prompt:

  • How did the activity activate your curiosity?
  • Why did the activity activate your curiosity?
  • What about the activity made you want to learn more and explore further?

After addressing each point, if you still have room within your 200 words per activity, you can explain some things further. Perhaps you want to discuss something specific that you learned or exactly what your role in the activity was.

For example, consider the following response by a hypothetical student:

“During my junior year of high school, I joined the Robotics Club with no prior experience, other than having taken AP CompSci. Our team’s first project involved building and coding a robot that could get to distant water sources, collect water, and purify and store it. We spent several weekends and late nights programming the bot and troubleshooting it.

It had trouble navigating at first, then it failed to recognize the water sources. Finally, we completed the build in a few months, and though it was far from perfect, it did the job. That first drink of purified water from the bot was beyond refreshing.

That project was the one that truly showed me how useful robotics could be to humanity. I imagined building hundreds of robots like the original and sending them to developing countries to increase their access to clean drinking water. I am now drawn to mechanical engineering because it offers limitless opportunities to create devices that can be used to improve the world and people’s quality of life.”

This example is effective because it tells an engaging anecdote, addresses each point of the prompt, and offers a plan for the student’s college career and future professional life.

The creativity, inventiveness, and innovation of Caltech’s students, faculty, and researchers have won Nobel Prizes and put rovers on Mars , but Techers also imagine smaller scale innovations every day, from new ways to design solar cells to 3D printing dorm decor. How have you been an innovator in your own life? (200-250 words)

This prompt is trying to determine how you think as a problem solver. The admissions committee wants to know the ways in which you have been innovative or have approached problems creatively.

Don’t feel like you have to have developed some revolutionary solution to a global problem. No one is expecting you to have engineered some brilliant scientific apparatus—you haven’t even begun college yet! Just like the prompt’s examples illustrate, you can think on as big or as small a scale as you’d like.

When trying to choose an example of innovation in your own life, it might be useful to think about abstract qualities then work your way to concrete events. Are you ambitious, adaptable, creative, resourceful, open-minded? What are some positive qualities of yours? Once you’ve decided on some attributes, you should be able to relate them to some anecdotes.

Let’s say you’re creative and resourceful. Think of a time when those traits generated something innovative or novel in your life. Maybe you were locked out of your apartment and used a credit card to open the latch. Perhaps this experience inspired you to 3D print a plastic card to use specifically for problems like that.

Your story of innovation can involve anything really, as long as you came up with a creative solution to a problem you were confronted with. Maybe the arm of your glasses broke in the middle of class, so you attached a pen cap to it so the glasses could still be used until you had time to replace them.

You have 250 words, so you may want to think of 2-3 anecdotes to discuss. It might even be helpful to write about something you want to improve but haven’t yet. You can talk about a persistent problem you’ve seen and propose a creative potential solution.

Here’s an example of an anecdote a student might write:

“I worked at a hardware store during high school to help my parents pay some bills. The store was far from my home, and often took about an hour to get to by public transportation. I’ve always been interested in tinkering with mechanical devices, so I decided to make the most of my job.

I bought parts from the store with portions of my paycheck every couple of weeks, and over the course of several months I built myself a bicycle from scratch. Of course, it wasn’t the most visually appealing or comfortable bike, but it did the job and it did it well. I don’t use it much anymore, but I still own it and feel great pride every time I pass it on my way out the door.”

This is a good anecdote because it presents an issue, describes something about the student’s creative and inquisitive nature, and showcases the innovative solution that the student devised.

You may want to approach this prompt in a similar way. Outline a problem you had to deal with, describe some relevant positive attributes about yourself, then explain how these attributes helped you find an innovative solution to the problem.

Caltech’s mission – to cultivate learning, discovery, and innovation for the benefit of humanity – relies on its community members embracing fundamental Caltech values :

Brainstorming your topic:

Caltech has narrowed your list of possible topics to just three things—the values listed above. Now, that doesn’t mean your brainstorming process is over when you pick the value(s) you want to write about.

You also want to have a clear sense of how you’re going to explain what that value means to you, as 400 words is on the longer side for a supplemental essay. If you’re unfocused going into the essay, your writing may end up somewhat scattered. To ensure that doesn’t happen, think of some experiences you’ve had that showcase what the value you’ve selected means to you.

For example, you might want to write about your openness to other perspectives. Maybe you describe a snowshoeing trip you took with your family, and how you were dreading the damp, the cold, and the blisters. But, even though you did end up confronting all of those things, you also unexpectedly got to see the northern lights. That once-in-a-lifetime treat helped you realize that having a positive outlook on new experiences is a choice, and if you consciously make it, you’re likely to enjoy yourself much more.

As this example illustrates, unless you choose the third value, your response doesn’t have to rely solely on STEM-related experiences. Obviously, Caltech is one of the most prestigious tech schools in the world, but remember that admissions officers will also be reading your responses to Prompts 1, 2, and 3, which are all academically focused. So, if you want to share a slightly different side of yourself, this prompt is a great opportunity to do so.

Note: given the linked webpage and the wording of the values in the prompt, you might use this space to write about a topic related to diversity . Just be sure to follow the prompt’s directions if you do.

Finally, note that the prompt says you can write about “one or more” of the listed values. If you can think of an experience you’ve had that showcases two or three of the given values, go for it! That said, don’t force anything. A well-written, cohesive response that focuses on just one value is just as good as one that includes multiple values.

400 words should be more than enough to develop your ideas in sufficient detail, but if you’re trying to cram in a connection that isn’t really logically there, your essay will feel disjointed.

Tips for writing your essay:

Once you start writing, keep this important writing principle in mind—show, don’t tell. You don’t want to just state things in a factual, direct way. Rather, describe a situation that illustrates the points you’re trying to make. To see the difference, compare the following two example sentences:

Example 1: “Although I had been having a terrible time all day, when we finally reached the overlook we had been trekking towards, we got to see the northern lights, which I will never forget.”

Example 2: “When we finally emerged from the treeline, my hair was still damp with cold sweat and snowfall, and my heels were still chafing against my itchy wool socks, but my discomfort melted away in the iridescent shimmer of the aurora borealis sparkling on unblemished snow.”

These two examples are about the same moment, but the second immerses us in the scene with sensory details and strong descriptions, which makes it much more engaging to read. Since you have a little more room to write in this supplement, don’t be afraid to show your creative writing abilities.

Also be sure you give the admissions officers a strong sense of what your chosen value means to you. Remember, within your application as a whole, the point of the essay is to set yourself apart even from other smart, talented applicants. Since everyone is going to be writing about the same three given values in their responses, make sure it’s clear how your experiences have shaped your own personal understanding of the value you select. 

Including a personal overall takeaway will help admissions officers see why the experience you’ve described speaks to the kind of Caltech student you’ll be. Remember, their job is to visualize how you will contribute to their school for the next four years, so make sure you explain how something that took place in the past continues to influence you today.

Mistakes to avoid:

The most important thing to avoid in your response is vagueness. If you speak only in general abstract terms about the value you’ve selected and fail to incorporate detailed, illustrative examples, your essay may end up sounding preachy, or like a Hallmark card.

The other, slightly more subtle mistake you want to watch out for is not drawing an obvious connection between your experiences and the value you’ve selected. For example, say that in the snowshoeing example you spent all 400 words describing how beautiful the northern lights are, and didn’t say anything about how grumpy you were at the start of the snowshoeing trip. Your reader wouldn’t have any idea how this story reflects your open-mindedness.

As long as you follow the brainstorming tips we’ve provided above and rely on strong descriptions once you start writing, you should be unlikely to fall into these traps and should be well on your way to a personal, engaging essay.

Prompt 5 (Optional)

If there are aspects of your life or social or personal identity that you feel are not captured elsewhere in this application, please tell us about them. (150 words).

While we typically encourage students to respond to optional prompts, there’s no need to write additional information here if you feel that your application already captures your identity adequately.

This is a variation on the common diversity prompt . Unlike the previous prompts, this prompt has a 150-word limit, so if you choose to respond to it, you’re going to have to be more succinct.

Think about communities that you’re a member of, especially those that have played a role in your development as a person. These communities can be physical environments, like the neighborhood you grew up in, or communities defined by attributes, like your ethnic group or gender identity. Remember, identity encompasses a wealth of attributes.

Aspects of identity include traditional markers of diversity, such as ethnicity/race, country of origin, gender identity, sexual orientation, your first language, and an illness/disability. However, aspects of identity also include your hometown, socioeconomic class, groups you’re part of, and even your interests or hobbies.

A quick note if you intend to write about your racial background: In June 2023, the United States Supreme Court struck down the use of affirmative action in college admissions. The ruling, however, still allows colleges to consider race on an individual basis, which is one reason many schools are now including diversity prompts as one of their supplemental essay prompts. If you feel that your racial background has impacted you significantly, this is the place to discuss that.

Because of the wording of the prompt, you might also choose to write about an aspect of your life that isn’t related to ideas of identity. These can include life-altering events, important social interactions you’ve had, or formative experiences.

After you’ve settled on an aspect of identity or an event you deem important enough to write about, consider some questions to help direct your writing:

1) What is the strongest emotion you feel about your chosen aspect of identity or event?

2) Is there a skill, ability, or talent you have due to this aspect or event?

3) Have you developed or strengthened any personality traits as a result of this background? If so, what are they and how have they changed over time?

You don’t necessarily have to include any or all of this information in your response, but if you’re having trouble putting the importance of your chosen aspect/event into words, these questions might inspire some ideas.

Once you’ve chosen a topic and have some idea of how you intend to describe it and its importance, it’s time to write. There are two strong approaches to writing this response:

  • The first approach involves doing something totally novel. You might want to pick a completely new aspect of your identity or life event that is fully distinct from one previously mentioned in your application. For example, if you mentioned your gender identity already, you may choose to write about your ethnic background here. This can be a useful approach if certain parts of your identity hold a similar level of importance to you.
  • The second approach involves building a previously mentioned attribute/event. Perhaps there is an aspect of your identity that is related to the one you just wrote about, but distinct enough to warrant a new essay. Maybe you talked about being Hispanic somewhere in your application previously, and now want to write about the Spanish language. The language you speak might be an integral part of your identity. It isn’t the same as your ethnic background, even if the two are closely linked, so something like that would be fair game for this prompt.

Though this response is really whatever you want it to be, there are some things you’ll want to try not to do. Remember to avoid simply listing aspects of your identity without elaboration, writing too much about something negative, and discussing a topic that’s too clichéd.

This is another chance to showcase who you are. During the admissions process, there aren’t too many of these opportunities, so make the most of them!

Prompt 6 (Optional)

When not surveying the stars, peering through microscopes, or running through marathons of coding, caltech students pursue an eclectic array of interests that range from speedcubing to participating in varsity athletics to reading romance novels. what is a favorite interest or hobby and why does it bring you joy (100 words).

This prompt is meant to gauge who you are beyond your grades and test scores. It’s an optional prompt, but we strongly recommend writing a response to it, as this gives the admissions committee more knowledge about you.

Caltech wants to know what interests you outside of school, and what hobbies you might bring to their campus. Your hobbies don’t necessarily have to be traditional extracurricular activities, but you might still want to look at our guide to writing the extracurricular activities essay for some tips!

Before you begin writing, it’s important that you select a strong topic. Of course, you need to be sincere. Don’t write about a topic you don’t consider a hobby just because you think the admissions committee wants to read about it. An authentic topic will always make for a better essay than an extravagant one. Make a list of your most meaningful hobbies and consider the following questions:

1) Which hobby on your list have you shown the most commitment to? Which has been most influential in your development?

2) What is the strongest emotion you feel about this hobby?

  • Why do you feel this emotion?
  • Has that emotional response changed over time? If so, how and why?
  • What emotions do you feel during the activity?

3) What thoughts and feelings go through your mind while you participate in this hobby/activity?

4) Have you developed or strengthened any personality traits as a result of this hobby? If so, what are they and how have they evolved over time?

5) Have you developed any skills due to this hobby? These can include soft skills such as critical thinking, public speaking, work ethic, and teamwork, or hard skills, which are specific to whatever domain your hobby is a part of.

6) What impact has this hobby had on the rest of your life (other activities, social life, academics, etc.)?

Once you’ve chosen your hobby, think about how you want to structure your essay. You only have 100 words, which is a very small space to work within, so you’re going to have to be concise. The prompt specifically asks why this interest brings you joy, so you’ll definitely want to include a response to that question.

You have some flexibility in the way you respond to this prompt. You might explicitly state what you enjoy about the hobby, or perhaps you’ll talk about some of the activity’s outcomes that have brought you fulfillment.

Consider this response from a hypothetical student:

“My fingers pluck each string deliberately but delicately. My foot taps quietly along, keeping rhythm like a metronome. I am at peace, once again practicing classical guitar like I have every day for the past ten years. That seems long already, but there is still so much to learn.

As each mellifluous note wafts through the air, I am filled with the joy of knowing there is another technique to master, another piece to play, another obstacle to conquer. Playing classical pieces is more than a hobby; it is a challenge, an opportunity to honor something that transcends time.”

This is a strong response for a number of reasons:

  • First, it uses very evocative language to great effect, painting a picture of the hobby in question.
  • Second, it describes in detail the emotions the hobby evokes and the reason it elicits joy in the student.
  • Finally, it showcases the student’s perspective in a way that cannot be misconstrued. This student is clearly intellectually stimulated by this hobby, dedicated to it, and industrious when it comes to practicing—all excellent qualities to bring to Caltech.

You should strive to do the same things in your essay. Use imagery to your advantage, be specific when discussing your emotions, and try to describe your emotional response to the hobby in a way that reveals something about your personality.

You want to craft an effective essay, so you should note a few common mistakes to avoid:

  • Don’t pick the wrong activity! Bad activities include: hobbies you’ve already written about somewhere else in your application, impressive-sounding hobbies you don’t actually participate in, and hobbies you haven’t actually put that much time into.
  • Don’t just describe the interest without elaborating on its impact on you. You might get caught up in your anecdote when writing, but don’t forget to explain the hobby’s significance.
  • Don’t just list your accomplishments within the hobby. You shouldn’t simply provide a list of things that make you look good superficially. You want to show your personal perspective and growth by discussing your emotional response to your chosen hobby and how the hobby impacts your life.

Structurally, take a reflective approach and really analyze your thoughts and feelings about the hobby. Since you only have 100 words to work with, avoid writing more than one anecdote. You need to be concise in your language, but as long as you can provide a good reflection and describe what it is about your hobby that brings you joy, you will be fine.

Prompt 7 (Optional)

Did you have a hard time narrowing it down to just one interest or hobby we understand – caltech students like to stay busy, too – tell us about another hobby or interest (50 words).

This prompt is also optional, but it’s a great chance to describe something else you’re passionate about. If you were stuck on the previous prompt, struggling to choose between two hobbies that are really important to you, you can describe the second one here.

Bear in mind that this prompt has only 50 words, half the words you had for the previous prompt. If you decide to write a response to this prompt, you have to be extremely precise in your word choice. Consult the guide to the previous prompt above, CollegeVine’s guide to writing the extracurricular activities essay , for more in-depth tips on how you should craft your essay.

Consider the following example response:

“My fingers pluck each string deliberately but delicately. I am at peace, practicing classical guitar like I have daily for the past decade. As notes float through the air, I’m filled with the joy of knowing there is another technique to master, another piece to play, another obstacle to conquer.”

This response is the previous example response adapted to fit the smaller word limit. Notice that it still defines the hobby, paints a picture of the activity, and describes the student’s emotional response when participating in the activity. Of course, the reduced word count means that this essay reveals a bit less about the student than the previous version, but it still answers the prompt well.

Where to Get Your Caltech Essay Edited

Do you want feedback on your Caltech essays? After rereading your essays countless times, it can be difficult to evaluate your writing objectively. That’s why we created our free Peer Essay Review tool , where you can get a free review of your essay from another student. You can also improve your own writing skills by reviewing other students’ essays.

If you want a college admissions expert to review your essay, advisors on CollegeVine have helped students refine their writing and submit successful applications to top schools. Find the right advisor for you to improve your chances of getting into your dream school!

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The Moral Economy of High-Tech Modernism

essay about high tech

While people in and around the tech industry debate whether algorithms are political at all, social scientists take the politics as a given, asking instead how this politics unfolds: how algorithms concretely govern. What we call “high-tech modernism”— the application of machine learning algorithms to organize our social, economic, and political life—has a dual logic. On the one hand, like traditional bureaucracy, it is an engine of classification, even if it categorizes people and things very differently. On the other, like the market, it provides a means of self-adjusting allocation, though its feedback loops work differently from the price system. Perhaps the most important consequence of high-tech modernism for the contemporary moral political economy is how it weaves hierarchy and data-gathering into the warp and woof of everyday life, replacing visible feedback loops with invisible ones, and suggesting that highly mediated outcomes are in fact the unmediated expression of people’s own true wishes.

Henry Farrell is the SNF Agora Professor of International Affairs at Johns Hopkins School of Advanced International Studies. He is the author, with Abraham Newman, of Underground Empire: How America Weaponized the World Economy (forthcoming 2023) and Of Privacy and Power: The Transatlantic Fight over Freedom and Security (2019).

Marion Fourcade is Professor of Sociology at the University of California, Berkeley. She is the author of Economists and Societies: Discipline and Profession in the United States, Britain, and France, 1890s to 1990s (2010) and editor of Pandemic Exposures: Economy and Society in the Time of Coronavirus (with Didier Fassin, 2022).

Algorithms—especially machine learning algorithms—have become major social institutions. To paraphrase anthropologist Mary Douglas, algo rithms “do the classifying.” 1 They assemble and they sort—people, events, things. They distribute material opportunities and social prestige. But do they, like all artifacts, have a particular politics? 2 Technologists defend themselves against the very notion, but a lively literature in philosophy, computer science, and law belies this naive view. Arcane technical debates rage around the translation of concepts such as fairness and democracy into code. For some, it is a matter of legal exposure. For others, it is about designing regulatory rules and verifying compliance. For a third group, it is about crafting hopeful political futures. 3

The questions from the social sciences are often different: How do algorithms concretely govern? How do they compare to other modes of governance, like bureaucracy or the market? How does their mediation shape moral intuitions, cultural representations, and political action? In other words, the social sciences worry not only about specific algorithmic outcomes, but also about the broad, society-wide consequences of the deployment of algorithmic regimes—systems of decision-making that rely heavily on computational processes running on large databases. These consequences are not easy to study or apprehend. This is not just because, like bureaucracies, algorithms are simultaneously rule-bound and secretive. Nor is it because, like markets, they are simultaneously empowering and manipulative. It is because they are a bit of both. Algorithms extend both the logic of hierarchy and the logic of competition. They are machines for making categories and applying them, much like traditional bureaucracy. And they are self-adjusting allocative machines, much like canonical markets.

Understanding this helps highlight both similarities and differences between the historical regime that political scientist James Scott calls “high modernism” and what we dub high-tech modernism . 4 We show that bureaucracy, the typical high modernist institution, and machine learning algorithms, the quintessential high-tech modernist one, share common roots as technologies of hierarchical classification and intervention. But whereas bureaucracy reinforces human sameness and tends toward large, monopolistic (and often state-based) organizations, algorithms encourage human competition, in a process spearheaded by large, near-monopolistic (and often market-based) organizations. High-tech modernism and high modernism are born from the same impulse to exert control, but are articulated in fundamentally different ways, with quite different consequences for the construction of the social and economic order. The contradictions between these two moral economies, and their supporting institutions, generate many of the key struggles of our times.

Both bureaucracy and computation enable an important form of social power: the power to classify. 5 Bureaucracy deploys filing cabinets and memorandums to organize the world and make it “legible,” in Scott’s terminology. Legibility is, in the first instance, a matter of classification. Scott explains how “high modernist” bureaucracies crafted categories and standardized processes, turning rich but ambiguous social relationships into thin but tractable information. The bureaucratic capacity to categorize, organize, and exploit this information revolutionized the state’s ability to get things done. It also led the state to reorder society in ways that reflected its categorizations and acted them out. Social, political, and even physical geographies were simplified to make them legible to public officials. Surnames were imposed to tax individuals; the streets of Paris were redesigned to facilitate control.

Yet high modernism was not just about the state. Markets, too, were standardized, as concrete goods like grain, lumber, and meat were converted into abstract qualities to be traded at scale. 6 The power to categorize made and shaped markets, allowing grain buyers, for example, to create categories that advantaged them at the expense of the farmers they bought from. Businesses created their own bureaucracies to order the world, deciding who could participate in markets and how goods ought to be categorized.

We use the term high-tech modernism to refer to the body of classifying technologies based on quantitative techniques and digitized information that partly displaces, and partly is layered over, the analog processes used by high modernist organizations. Computational algorithms—especially machine learning algorithms—perform similar functions to the bureaucratic technologies that Scott describes. Both supervised machine learning (which classifies data using a labeled training set) and unsupervised machine learning (which organizes data into self-discovered clusters) make it easier to categorize unstructured data at scale. But unlike their paper-pushing predecessors in bureaucratic institutions, the humans of high-tech modernism disappear behind an algorithmic curtain. The workings of algorithms are much less visible, even though they penetrate deeper into the social fabric than the workings of bureaucracies. The development of smart environments and the Internet of Things has made the collection and processing of information about people too comprehensive, minutely geared, inescapable, and fast-growing for considered consent and resistance.

In a basic sense, machine learning does not strip away nearly as much information as traditional high modernism. It potentially fits people into categories (“classifiers”) that are narrower—even bespoke. The movie streaming platform Netflix will slot you into one of its two thousand–plus “microcommunities” and match you to a subset of its thousands of subgenres. Your movie choices alter your position in this scheme and might in principle even alter the classificatory grid itself, creating a new category of viewer reflecting your idiosyncratic viewing practices.

Many of the crude, broad categories of nineteenth-century bureaucracies have been replaced by new, multidimensional classifications, powered by machine learning, that are often hard for human minds to grasp. 7 People can find themselves grouped around particular behaviors or experiences, sometimes ephemeral, such as followers of a particular YouTuber, subprime borrowers, or fans of action movies with strong female characters. Unlike clunky high modernist categories, high-tech modernist ones can be emergent and technically dynamic , adapting to new behaviors and information as they come in. They incorporate tacit information in ways that are sometimes spookily right, and sometimes disturbing and misguided: music-producing algorithms that imitate a particular artist’s style, language models that mimic social context, or empathic AI that supposedly grasps one’s state of mind. 8 Generative AI technologies can take a prompt and generate an original picture, video, poem, or essay that seems to casual observers as though it were produced by a human being.

Taken together, these changes foster a new politics. Traditional high modernism did not just rely on standard issue bureaucrats. It empowered a wide variety of experts to make decisions in the area of their particular specialist knowledge and authority. Now, many of these experts are embattled, as their authority is nibbled away by algorithms whose advocates claim are more accurate, more reliable, and less partial than their human predecessors.

One key difference between the moral economies of high modernism and high-tech modernism involves feedback. It is tempting to see high modernism as something imposed entirely from above. However, in his earlier book Weapons of the Weak , Scott suggests that those at the receiving end of categorical violence are not passive and powerless. 9 They can sometimes throw sand into the gears of the great machinery.

As philosopher Ian Hacking explains, certain kinds of classifications—typically those applying to human or social collectives—are “interactive” in that

when known by people or those around them, and put to work in institutions, [they] change the ways in which individuals experience themselves—and may even lead people to evolve their feelings and behavior in part because they are so classified. 10

People, in short, have agency. They are not submissive dupes of the categories that objectify them. They may respond to being put in a box by conforming to or growing into those descriptions. Or they may contest the definition of the category, its boundaries, or their assignment to it. 11 This creates a feedback loop in which the authors of classifications (state officials, market actors, experts from the professions) may adjust the categories in response. Human society, then, is forever being destructured and restructured by the continuous interactions between classifying institutions and the people and groups they sort.

But conscious agency is only possible when people know about the classifications: the politics of systems in which classifications are visible to the public, and hence potentially actionable, will differ from the politics of systems in which they are not.

So how does the change from high modernism to high-tech modernism affect people’s relationships with their classifications? At its worst, high modernism stripped out tacit knowledge, ignored public wishes and public complaints, and dislocated messy lived communities with sweeping reforms and grand categorizations, making people more visible and hence more readily acted on. The problem was not that the public did not notice the failures, but that their views were largely ignored. Authoritarian regimes constricted the range of ways in which people could respond to their classification: anything more than passive resistance was liable to meet brutal countermeasures. Democratic regimes were, at least theoretically, more open to feedback, but often ignored it when it was inconvenient and especially when it came from marginalized groups.

The pathologies of computational algorithms are often more subtle. The shift to high-tech modernism allows the means of ensuring legibility to fade into the background of the ordinary patterns of our life. Information gathering is woven into the warp and woof of our existence, as entities gather ever finer data from our phones, computers, doorbell cameras, purchases, and cars. There is no need for a new Haussmann to transform cramped alleyways into open boulevards, exposing citizens to view. 12 Urban architectures of visibility have been rendered nearly redundant by the invisible torrents of data that move through the air, conveying information about our movements, our tastes, and our actions to be sieved through racks of servers in anonymous, chilled industrial buildings.

The feedback loops of high-tech modernism are also structurally different. Some kinds of human feedback are now much less common. Digital classification systems may group people in ways that are not always socially comprehensible (in contrast to traditional categories such as female, married, Irish, or Christian). Human feedback, therefore, typically requires the mediation of specialists with significant computing expertise, but even they are often mystified by the operation of systems they have themselves designed. 13

The political and social mechanisms through which people previously responded, actively and knowingly, to their categorization—by affirming, disagreeing with, or subverting it—have been replaced by closed loops in which algorithms assign people unwittingly to categories, assess their responses to cues, and continually update and reclassify them. The classifications produced by machine learning are cybernetic, in mathematician Norbert Wiener’s original sense of the word. That is, they are self-correcting: categories are automatically and dynamically adjusted in light of the reactions that they produce.

The changing politics of credit in the United States helps illuminate these differences. Until the 1970s, broad demographic characteristics such as gender or race—or high modernist proxies such as marital status or the redlining of poor, primarily Black neighborhoods—were routinely used to determine a person’s creditworthiness. It is only when categorical discrimination was explicitly forbidden that new actuarial techniques, aimed at precisely scoring the “riskiness” of specific individuals, started to flourish in the domain of credit. 14

This did not just change how lenders “saw” individuals and groups, but also how individuals and groups thought about themselves and the politics that were open to them. 15 Redlining was overt racial prejudice, visible to anyone who bothered looking at a map. But credit scoring turned lending risk evaluation into a quantitative, individualized, and abstract process. Contesting the resulting classifications or acting collectively against them became harder. Later, the deployment of machine learning—which uses even weaker signals to make its judgments, like using one’s phone’s average battery level to determine their likelihood to repay their loan—made the process of measuring creditworthiness even more opaque and difficult to respond to. 16

Predictive scores that rely on behavioral measures eschew blatant racial discrimination . But it would be a mistake to think that they eliminate racial disparities —they just make them harder to see, sometimes allowing them to ramify further. 17 This is why the political struggle against algorithms has emphasized historical biases embedded in training data sets and the inherent unfairness and poor performance of nontransparent, automated decision-making. The European Commission has proposed to regulate the use of “high risk” algorithms that endanger fundamental rights, subjecting them to frequent human review. 18 This would include the use of algorithms for public benefit eligibility, credit scoring, law enforcement, immigration control, employment, and more. Finally, traditional high modernist professionals—including judges, journalists, and law enforcement officers—have also pushed back against the use of algorithms in their work, treating them as irrelevant, inefficient, or a status threat. 19

The moral economy of high-tech modernism is market-driven, both practically and ideologically. Many algorithm-based start-ups want to expand market share rapidly and aggressively. Once revenues exceed fixed costs, the additional cost of adding a new user is comparatively tiny. Platform companies like Facebook or YouTube can serve billions of customers with tens of thousands of employees. Machine learning algorithms can gather data about users and dynamically provide and adjust flows of content, while auction and matching algorithms can maintain dynamic markets for advertisers who want access to customers with specific demographic characteristics.

Algorithms institutionalize competition between units (whether people, organizations, or ideas) by fostering a market-based vision of fairness. 20 The threat of being automated away looms large for all workers. Algorithmic technologies can also be implemented to hire and fire, to predict performance, influence, and riskiness, or to surveil, discipline, and arrest. They do so by rank-ordering according to their own particular versions of merit. 21 It is as though anyone who applies themselves can do well, and social structure and existing power allocations did not matter. (The irony is that while high-tech modernist firms are happy to turn the market screw on everyone else, they strive to establish monopoly for themselves). 22

Just like the behavior of individuals, the distribution of knowledge must be subjected to the market test. High-tech modernism claims to represent popular judgment against the snobbishness of elites. Remember that Scott identifies high modernism as inherently antidemocratic because it enforces categories and objectives decided on by elites who “know better.” 23 High-tech modernism, by contrast, systematically undermines elite judgment, fueling a crisis of expertise. 24 Algorithms purport to read X -rays better than radiologists, predict purchases better than market researchers, understand people’s sexuality better than they themselves do, and produce new text or code better than many professional writers and engineers. Meanwhile, they elevate a kind of bottom-up wisdom. The network leaves it up to the crowd to judge what is worth knowing, generating collective sentiments through likes, clicks, and comments. Viral trends and online multitudes provide a kind of pseudodemocratic, if extremely volatile, vox populi .

The absence of visible hierarchy legitimates high-tech modernism’s claim that clouds and crowds best represent people’s wishes. Its new elites echo early libertarian arguments about cyberspace, and quasi-Hayekian defenses of the market, facially justifying the notion that search engines and other algorithms are disinterested means of processing the internet’s naturally dispersed stock of knowledge. 25 They flatter high-tech modernism as defending the liberties of the individual, freed from physical and social bonds, against traditional status hierarchies. The abundant data that people “freely” upload or leave behind as they roam cyber space become “an unqualified good,” fostering beneficial competition for everyone and everything. 26

The awkward fact is that hierarchy has not disappeared. It has only become less visible. Platform companies’ business priorities determine the algorithms that are employed, as well as their “objective functions,” the weighted goals that they are supposed to maximize on. Social media corporations employ algorithms that maximize “engagement,” keeping consumers scrolling through feeds or watching video clips so that they keep seeing paid content that may itself be misleading. Amazon, in contrast, cares more about getting people to buy things, and, according to legal scholar and Federal Trade Commission Chair Lina Khan, uses its detailed transaction information and ability to rank search outcomes to fortify its market dominance. 27 Platform companies dislike even tweaking their algorithms in response to regulators’ demands for fear that it might create a precedent for further interventions that would conflict with their business model.

As search engines have transformed from general-purpose technology to personal digital assistants, they have elevated searching the web and forming an opinion “for oneself” into a normative principle. People think of search engines as oracles, but as sociologist Francesca Tripodi and others have shown, they work more like distorting mirrors that variously confirm, exacerbate, or take advantage of people’s priors. 28 Our interests and beliefs are embedded in the vocabulary we use, the questions we ask, perhaps our whole search history. YouTube, Facebook, and other social media present content based on what we have wanted to see in the past, and what other people who are like us across some array of dimensions have wanted to see.

In this way, platform companies have become knowledge intermediaries, like newspapers or school curriculum boards, while insulating themselves from traditional accountability. Their algorithms and (perhaps just as important) sharing and search tools help foster categories that can become self-reinforcing private universes of discourse, producing echo chambers in which other voices are silenced, or epistemic bubbles that guide users to apparent authorities who actively look to discredit other sources of information. 29 However, the invisibility of hierarchy allows these knowledge intermediaries to justify themselves on laissez-faire principles, not telling the public what to trust, even while they quietly sink deeper into the Augean mire of moderating offensive, false, or untrue content.

Our universe of accessible knowledge is shaped by categorization processes that are invisible and incomprehensible to ordinary users, according to principles that have little regard for whether it is well sourced. The outcome is that the way that people “take [their] bearings in the world” is slowly changing. 30 Visible feedback loops between the people being categorized, the knowledge they have access to, and the processes through which the categories are generated are replaced by invisible loops mediated through algorithms that maximize on commercial imperatives, sometimes creating incompatible and self-sustaining islands of shared (“post-truth”) beliefs among micropublics who have been categorized in particular ways, and who may themselves act to reinforce the categories. A new terrain of political struggle has arisen, involving the exploitation of information systems and algorithmic dynamics for partisan advantage.

This is a different set of moral pathologies than those suggested by social psychologist Shoshana Zuboff, who emphasizes platform companies’ manipulation of people’s wants and beliefs, which might or might not succeed. 31 The more cor rosive threat may be that people have been convinced that the high-tech modernist system of knowledge generation is an open buffet where “anything goes,” and that keeping it that way is essential to their own freedom. Anyone can offer content, anyone can be their own expert, and it is up to the algorithm to sort it out. Further, the new existential condition of transparency has provided everyone with potent tools to expose or doubt others, only moderated by their own vulnerability to be exposed in turn—an inherently agonistic situation.

At the end of the day, the relationship between high modernism and high-tech modernism is a struggle between two elites: a new elite of coders, who claim to mediate the wisdom of crowds, and an older elite who based their claims to legitimacy on specialized professional, scientific, or bureaucratic knowledge. 32 Both elites draw on rhetorical resources to justify their positions; neither is disinterested.

The robust offense and disbelief that many people feel about algorithmic judgments suggests that the old high modernist moral political economy, faults and all, is not quite dead. The new moral political economy that will replace it has not yet matured, but is being bred from within. Articulated by technologists and their financial backers, it feeds in a kind of matriphagy on the enfeebled body (and the critique) of its progenitor. Just as high modernist bureaucracies did before, high-tech modernist tools and their designers categorize and order things, people, and situations. But they do so in distinctive ways. By embedding surveillance into everything, they have made us stop worrying about it, and perhaps even come to love it. 33 By producing incomprehensible bespoke categorizations, they have made it harder for people to identify their common fate. By relying on opaque and automated feedback loops, they have reshaped the possible pathways to political reaction and resistance. By increasing the efficiency of online coordination, they have made mobilization more emotional, ad hoc, and collectively unstable. And by insisting on market fairness and the wisdom of crowds as organizing social concepts, they have fundamentally transformed our moral intuitions about authority, truth, objectivity, and deservingness.

authors’ note

We are grateful to Jenna Bednar, Angus Burgin, Eric Beinhocker, danah boyd, Robyn Caplan, Federica Carugati, Maciej Ceglowski, Jerry Davis, Deborah Estrin, Martha Finnemore, Sam Gill, Peter Hall, Kieran Healy, Rebecca Henderson, Natasha Iskander, Bill Janeway, Joseph Kennedy III , Jack Knight, Margaret Levi, Charlton McIlwain, Margaret O’Mara, Suresh Naidu, Bruno Palier, Manuel Pastor, Paul Pierson, Kate Starbird, Kathy Thelen, Lily Tsai, and Zeynep Tufekci for comments on an earlier version of this essay.

  • 1 Mary Douglas, How Institutions Think (Syracuse, N.Y.: Syracuse University Press, 1986), 91.
  • 2 Langdon Winner, “Do Artifacts Have Politics?” Dædalus 109 (1) (Winter 1980): 121–136.
  • 3 Virginia Eubanks, “ The Mythography of the ‘New’ Frontier ,” MIT Communications Forum, 1999.
  • 4 James Scott, Seeing Like a State: How Certain Schemes to Improve the Human Condition Have Failed (New Haven, Conn.: Yale University Press, 1998).
  • 5 Robyn Caplan and danah boyd, “Isomorphism through Algorithms: Institutional Dependencies in the Case of Facebook,” Big Data & Society 5 (1) (2018): 1–12.
  • 6 William Cronon, Nature’s Metropolis: Chicago and the Great West (New York: W. W. Norton, 1991).
  • 7 Marion Fourcade and Kieran Healy, “Seeing Like a Market,” Socio-Economic Review 15 (1) (2017): 9–29.
  • 8 Luke Stark, “The Emotive Politics of Digital Mood Tracking,” New Media and Society 22 (11) (2020): 2039–2057.
  • 9 James Scott, Weapons of the Weak: Everyday Forms of Peasant Resistance (New Haven, Conn.: Yale University Press, 1985).
  • 10 Ian Hacking, The Social Construction of What? (Cambridge, Mass.: Harvard University Press, 1999), 103–104.
  • 11 Geoffrey Bowker and Susan Leigh Star, Sorting Things Out: Classification and Its Consequences (Cambridge, Mass.: The MIT Press, 1999).
  • 12 Georges-Eugène Haussmann was the prefect responsible for the renewal and reimagining of Paris in Napoleonic France.
  • 13 Cathy O’Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (New York: Crown, 2016); and Jenna Burrell, “How the Machine ‘Thinks’: Understanding Opacity in Machine Learning Algorithms,” Big Data & Society 3 (1) (2016): 1–12.
  • 14 Martha Poon, “From New Deal Institutions to Capital Markets: Commercial Consumer Risk Scores and the Making of Subprime Mortgage Finance,” Accounting, Organizations and Society 34 (5) (2009): 654–674.
  • 15 Greta Krippner, “Democracy of Credit: Ownership and the Politics of Credit Access in Late Twentieth-Century America,” American Journal of Sociology 123 (1) (2017): 1–47.
  • 16 Kai-Fu Lee, AI Superpowers: China, Silicon Valley and the New World Order (New York: Harper Business, 2018).
  • 17 Solon Barocas and Andrew D. Selbst, “Big Data’s Disparate Impact,” California Law Review 104 (3) (2016): 671–732; Ruha Benjamin, Race After Technology: Abolitionist Tools for the New Jim Code (Cambridge, Mass.: Polity, 2019); and Safiya Umoja Noble, Algorithms of Oppression: How Search Engines Reinforce Racism (New York: NYU Press, 2018).
  • 18 European Commission, Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts (Brussels: European Commission, 2021).
  • 19 Angèle Christin, Metrics at Work: Journalism and the Contested Meaning of Algorithms (Princeton, N.J.: Princeton University Press, 2020); and Sarah Brayne, Predict and Surveil: Data, Discretion, and the Future of Policing (New York: Oxford University Press, 2020).
  • 20 Barbara Kiviat, “The Moral Limits of Predictive Practices: The Case of Credit-Based Insurance Scores,” American Sociological Review 84 (6) (2019): 1134–1158.
  • 21 Marion Fourcade, “Ordinal Citizenship,” The British Journal of Sociology 72 (2) (2021): 154–173.
  • 22 Peter Thiel, “Competition Is for Losers,” The Wall Street Journal, September 12, 2014.
  • 23 Scott, Seeing Like a State .
  • 24 Gil Eyal, The Crisis of Expertise (Cambridge, Mass.: Polity, 2019).
  • 25 John Perry Barlow, “ A Declaration of the Independence of Cyberspace ,” Electronic Frontier Foundation, February 8, 1996; Friedrich von Hayek, “The Uses of Knowledge in Society,” American Economic Review 35 (4) (1947): 519–530; Friedrich von Hayek, “Competition as a Discovery Procedure,” The Quarterly Journal of Austrian Economics 5 (3) (2002): 9–23; and Evgeny Morozov, “ Digital Socialism? The Socialist Calculation Debate in the Age of Big Data ,” New Left Review 116/117 (2019).
  • 26 Wendy Brown, Undoing the Demos: Neoliberalism’s Stealth Revolution (Princeton, N.J.: Princeton University Press, 2015), 157.
  • 27 Lina M. Khan, “Amazon’s Antitrust Paradox,” Yale Law Journal 126 (3) (2016–2017): 710–805.
  • 28 Francesca Tripodi, Searching for Alternative Facts. Analyzing Scriptural Inference in Conservative News Practices (New York: Data & Society, 2018).
  • 29 C. Thi Nguyen, “Echo Chambers and Epistemic Bubbles,” Episteme 17 (2) (2020): 141–161.
  • 30 Hannah Arendt, “Truth and Politics,” in The Portable Hannah Arendt, ed. Peter Baehr (London: Penguin Classics, 2000), 568.
  • 31 Shoshana Zuboff, The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power (New York: Public Affairs, 2019); and Tim Hwang, Subprime Attention Crisis (New York: FSG Originals, 2020).
  • 32 William Davies, “Elite Power Under Advanced Neoliberalism,” Theory, Culture and Society 34 (5–6) (2017): 227–250; and Jenna Burrell and Marion Fourcade, “The Society of Algorithms,” Annual Review of Sociology 47 (2021): 213–237.
  • 33 Nitsan Chorev, “The Virus and the Vessel, or: How We Learned to Stop Worrying and Love Surveillance,” Socio-Economic Review 19 (4) (2021): 1497–1513.
  • Essay On Technology

Essay on Technology

500+ words essay on technology.

The word technology comes from the two Greek words, ‘techne’ and ‘logos’. Techne means art, skills, or craft, and Logos means a word, saying, or expression that expresses inward thought. Thus, technology means the skill to convey an idea to reach a goal. But nowadays, the term technology mainly signifies the knowledge of tools, machines, techniques, crafts, systems, and organisation methods to solve a problem. Today, technological advancement has provided the human race with the ability to control and adapt to their natural environment. In this Essay on Technology, students will know the importance of technology, its advantages and disadvantages and the future of technology.

How Has Technology Changed Our Lives?

Various innovations and development took place in the field of technology which has made a significant impact on our lives in different ways. With the invention of technology, we become more powerful. We have the ability to transform the environment, extend our lifetime, create big and interconnected societies and even explore various new things about the universe. Today, we use technology from morning to evening, from the simplest nail cutter to television and personal laptop. Technology has touched all aspects of our lives, whether it is mobile phones, kettles, kitchen microwaves, electric cookers, television, water heaters, remote control, fridge, and other larger communication systems such as internet facilities, railways, air routes, and so on. Thus, technology plays an extremely crucial role in the lives of human beings.

Advantages of Technology

The advancement in technology has made our lives easier, more comfortable and enjoyable. It has reduced the effort and time required to complete a task, thus enhancing the quality and efficiency of work. Technology has become a part of our life and benefited us in many ways. Today, we can communicate with people living in any city or country. Communication has become much faster and easier as we are just a click away from people. In education, technology has played a vital role, especially during the COVID-19 breakdown period. It has brought virtual and online classes for students and teachers across the globe to share knowledge, ideas and resources online. Moreover, technology has made it easier for students to understand complex concepts with the help of virtualisation, graphics, 3D animation and diagrams.

Technology is considered to be the driving force behind improvements in the medical and healthcare field. Modern machines have helped doctors to perform operations successfully. Due to technology, the lifespan of the common person has increased. There are many more sectors, such as banking, automation, automobile, and various industries, where technology is making significant changes and helping us.

Disadvantages of Technology

Although we have so many advantages of technology, there are also disadvantages. Robots and machines have taken over the job of many people. Instead of bringing people together, technology has made them socially isolated. People now spend most of their time on smartphones or computers rather than interacting with other people. Technology in education has reduced the intellectual and analytical ability of students. It is like spoon-feeding to students as they don’t have the reasoning and aptitude skills to think differently. Technology has raised the issue of internet privacy. So, one has to be very careful while using banking passwords to make online transactions.

Future of Technology

The future of technology seems to be exciting but also scary. Futuristic predictions in technology can dish out some exciting or scary visions for the future of machines and science. Technology will either enhance or replace the products and activities that are near and dear to us. The answer to our technological dilemma about what will be the upcoming technological innovation in the future is not surprising. In the past, technology was mainly focused on retaining more information and efficient processing, but in the future, it will be based on industrial robots, artificial intelligence, machine learning, etc.

Technology alone cannot help in building a better world. The collateral collaboration of machines and human effort is required for the progress and prosperity of the nation. We need to develop a more robust management system for the efficient functioning of technology.

Practise CBSE Essays on more topics to improve the writing section. Students can get the latest updates on CBSE/ICSE/State Board/Competitive Exams at BYJU’S website. They can also download the BYJU’S App for interactive study videos.

Frequently Asked Questions on Technology Essay

What is the simple definition of technology.

The real-time application of science and knowledge is how technology can be defined in simple terms.

Which country is ranked first in technological advancement?

Finland ranks top in technological advancement ahead of the USA according to the UNDP.

Why is the development of technology important?

Technology has now become an important part of our lives and thus technical and technological advancements are essential to take us forward in all aspects.

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An overview of High-tech Architecture

essay about high tech

High-Tech architecture is also known as ‘late modernism’ or ‘structural expressionism’. This architectural style is the one that incorporates elements from new high-tech industries and advanced construction techniques into building design. It was developed in the 1970s, originally in Britain , and utilised advanced technology and new building materials.

This style evolved as a response to the monotonous standard structure that was designed under the umbrella of modern architecture of that time. The architecture of brick walls and wooden floors seemed immutable and old-fashioned. The designers and architects were charmed by the raw aesthetics of grain silos and factories in which form was dictated by function. 

However, the movement has roots in earlier styles and draws inspiration from earlier periods. Its principles have been heavily influenced by prominent figures like Le Corbusier , Walter Gropius , and Meis Van de Rohe .

History | High-tech Architecture

This style of architecture developed from modernism and is now often seen as the link between modernism and postmodernism . It attached importance to the object itself, the building, rather than the functional use of space. Inspired by technological progress, the aesthetic is also industrial. It emphasizes transparency in the design of buildings. Communication through the underlying structure and function of the building throughout its interior and exterior. 

High tech architecture has a material palette that extensively uses aluminium, glass, steel, and, to an extent, concrete . As with industrialization, these materials were available readily, in wider variety and forms especially during the time high tech architecture was developing. It sought to integrate the technical equipment of the building into its structure, combining functionality with its aesthetics.

The architectural style usually lacks internal load-bearing walls. Reconfigurable spaces are also one of the key elements of design. Most buildings also have overhanging floors. Bright colours are used in some projects in an attempt to evoke a sense of drawing or diagram. As is evident in the case of the following examples. 

1. Centre Pompidou

This building was designed by the architect Richard Rogers and Renzo Piano in the year 1977. It is designed as a highly flexible container for art. The Pompidou embodies the ideals of high-tech architecture. The style of architecture is sometimes also referred to as ‘Bowellism’. Bowellism is a modern and high-tech architecture style, which is heavily associated with Richard Rogers. 

Sometimes known as the inside-out architecture, this transient architectural and flippant style was heavily influenced by Le Corbusier and Antoni Gaudi.

An overview of High-tech Architecture Sheet1

The Centre Pompidou is adorned on the outside by lifts, escalators, and ventilation ducts,  around a vast steel frame, leaving the interior spaces completely open and adaptable. 

2. HSBC Building

The HSBC building built in 1979 is also an example of high-tech architecture. The Hongkong and Shanghai Banking Corporation Headquarters was designed by Foster Associates . It is a forty-four-storeyed high-tech skyscraper established by Norman Foster as a global brand. The building was designed to meet the brief of creating the best bank headquarters in the world.

An overview of High-tech Architecture Sheet2

The aesthetics of architecture are delegated to its engineering, avoiding the question of style and appearance, history and context. The services which are generally concealed within the central core were exhibited on the exterior of the building.

3. Lloyd’s Building

The Lloyd’s building in London designed by Richard Rogers is the second major building following the Centre Pompidou , which is one of the 1980s most recognizable pieces of architecture.

An overview of High-tech Architecture Sheet3

Like the earlier project, Lloyd’s building is innovative in having its services on the outside. This leaves a decluttered space inside. There are 3 main towers and three service towers around a central rectangular space. The higher floors can be accessed by exterior lifts.

4. Willis Faber and Dumas Building

Another project of high-tech architecture is the Willis Faber and Dumas building , by Foster Associates. It was built in 1975. It is a three-storeyed office block that is wrapped by a curved glass curtain wall hanging from the building structure. The building stands at the end of Ipswich.

An overview of High-tech Architecture Sheet4

The medieval street layout of the historic town shapes the irregular site. The design aimed at encouraging a greater sense of community for the employees. This was achieved by providing an uninterrupted and flexible internal area, used as an open-plan office.

5. Renault Distribution Center | High-tech Architecture

Renault Distribution Center in Swindon is one of the most extraordinary and articulate examples of the high-tech architectural style. The Renault Distribution Center was the leading distribution facility in the UK for the French car manufacturer Renault. It was completed in 1982 by Foster Associates.

An overview of High-tech Architecture Sheet5

The distinctive roof of the building was created for industrial racking and storage as Renault required a flexible space with large, open areas. Collectively the structure is made from forty-two square modules that are each 24 meters by 24 meters. A PVC membrane stretches across each module for the roof.

With high-tech architecture, the word ‘tech’, seemingly became something physical. The building and services finally came together to express an ideal architecture of the digital industry.

High tech architecture is not only the architecture we experience today, but it is a style with endless possibilities for the future . The high-tech style has mutated over the years into what we see at present and will continue to do so in the future.

References | High-tech Architecture

  • https://www.designingbuildings.co.uk/wiki/High-tech_architecture#:~:text=’High%2Dtech’%20is%20an,construction%20techniques%20into%20building%20design.&text=Developed%20out%20of%20modernism%2C%20high,a%20functional%20use%20of%20space .
  • https://en.wikipedia.org/wiki/High-tech_architecture
  • https://en.wikipedia.org/wiki/Lloyd%27s_building#Design
  • https://www.dezeen.com/2019/12/20/15-key-high-tech-buildings/
  • https://www.ft.com/content/92d5063a-277d-11e8-9274-2b13fccdc744
  • https://www.dezeen.com/2019/11/18/norman-foster-renault-distribution-centre-swindon/

An overview of High-tech Architecture Sheet1

Currently, in the fourth year of B.Arch course at IIT Roorkee, Mansi Dengre is a young and passionate writer. Her area of interest lies in the softer aspects of design, the society, culture and narratives, and green architecture. Sometimes you might find her lost in books and music.

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Automotive R&D transformation: Optimizing gen AI’s potential value

Three momentous trends are buffeting the R&D function in the automotive industry, creating the need for profound change.

About the authors

First, the transition from internal combustion engine (ICE) to electric vehicle (EV) technology is a fundamental shift, the likes of which the industry has not experienced since surging oil prices and competition sparked demand for more fuel-efficient vehicles more than a half century ago.

Second is the trend of software-defined vehicles with a central architecture that is more geared toward consumers. Software provides many opportunities for automotive players to differentiate themselves, with such applications as infotainment and advanced driver-assistance systems. However, software also presents companies with the substantial challenge of transforming hardware-centric operations to support their added role as software providers.

The third trend is the emergence of generative AI (gen AI). Gen AI is becoming a powerful technology with the potential to completely reconfigure how R&D teams operate. Although the technology is still in its early days, its ability to generate and process language and imagery, integrate insights from various sources, process information across diverse formats, and produce detailed documentation for regulatory purposes points to a radically different R&D future.

New entrants to the sector—EV manufacturers in China, the United States, and elsewhere—have already successfully implemented R&D process innovations that accelerate new-vehicle time to market, gaining considerable strategic advantages over established players, whose margins are already squeezed.

To better understand the impact and opportunity of these trends, we spoke with executives from leading European automotive and manufacturing companies. The detailed discussions focused primarily on gen AI and the lessons that are emerging from the many gen AI pilots and a few at-scale deployments.

One clear lesson emerged from these discussions: by following a value-focused approach that supports the integration of gen AI throughout the R&D process, companies can capture substantial value in the form of reduced costs, accelerated time to market, improved quality, and more innovation.

Opportunities for gen AI in automotive R&D

About the mckinsey center for future mobility.

These insights were developed by the McKinsey Center for Future Mobility (MCFM). Since 2011, the MCFM has worked with stakeholders across the mobility ecosystem by providing independent and integrated evidence about possible future-mobility scenarios. With our unique, bottom-up modeling approach, our insights enable an end-to-end analytics journey through the future of mobility—from consumer needs to a modal mix across urban and rural areas, sales, value pools, and life cycle sustainability. Contact us if you are interested in getting full access to our market insights via the McKinsey Mobility Insights Portal.

We convened a workshop with 30 R&D executives from leading European automotive and manufacturing companies to discuss their use of and plans for gen AI, exploring a range of opportunities inherent in the technology. Some of these executives also completed a detailed survey on gen AI; their responses are reflected throughout this article. 1 Of the 30 executives who participated in our workshop, 12 completed our survey.

Adoption and investment trends

We found a strong inclination to adopt gen AI in the automotive sector. The majority of companies (75 percent of survey respondents) are experimenting with at least one gen AI application; those that are not plan to start within one year (25 percent of respondents).

Further, investments in gen AI applications for R&D are substantial: more than 40 percent of survey respondents reported that their companies have invested up to €5 million. A few companies—more than 10 percent of respondents—have invested more than €20 million.

Gen AI application in R&D processes

While most of the executives surveyed (70 percent) reported that their companies are integrating gen AI applications into R&D, most pilot programs are limited to one stage of the R&D process. The breadth of piloted use cases is remarkably high (60 percent of use cases we identified); nevertheless, we saw no systematic use of gen AI throughout the R&D process.

The wide range of piloted use cases indicates that executives are largely aiming for a comprehensive future approach to using gen AI in the R&D process. Indeed, more than 40 percent of survey respondents are prioritizing more than 75 percent of potential use cases.

Gen AI’s estimated impact and value

Most participants agreed that most of the gen AI use cases quantified in the survey or during the workshop bring substantial value and could improve R&D processes by 10 to 20 percent. Some participants viewed the potential value of integrating gen AI use cases more as a means of recovering investments in gen AI, while others viewed it as an added expense required to remain competitive with peers. Nonetheless, the prevailing view is that major organizational and cultural transformations are needed to capture gen AI’s full value.

Gen AI use cases and their potential value to R&D

Use cases currently being piloted or investigated by participants’ companies were most likely to focus on requirements engineering (mentioned most in the survey), followed by software testing and validation, and product design and optimization (mentioned by more than half of survey respondents).

Although these are the most frequent areas of focus, each segment of the R&D process has viable gen AI use cases that provide opportunities to reduce costs, increase speed to market, and improve quality. For example, administrative costs could be lowered by using gen AI to complete certain documentation tasks required by regulations, thus freeing up developers’ capacity and improving engineering experience and efficiency.

  • Testing and homologation. The executives we consulted estimated that using gen AI to automate reporting and to generate documentation and scenario-based simulation could improve testing and homologation processes by 20 to 30 percent. Automation could add value by simplifying the creation of essential reports, manuals, and documentation for compliance, product documentation, and quality assurance purposes. And some use cases can deliver exceptional efficiencies: for example, a German tier-one automotive supplier achieved a 70 percent gain in productivity—including the time required for human review of the gen AI–produced output—by using gen AI to generate test vectors such as full branch coverage and modified condition/decision coverage (MCDC). By integrating gen AI into its development process for embedded software and its generation of requirements—using gen AI to help determine requirements for stakeholder requests that could serve as first drafts—the company achieved productivity gains of up to 30 percent for engineers.
  • Design applications. Within the design segment of R&D, the leaders we consulted estimated that generative-design use cases could improve R&D processes by 10 to 20 percent. They also estimated that reverse and black-box engineering use cases could yield 5 to 10 percent improvements in R&D processes by using gen AI to reveal and decode proprietary technologies such as knowledge extraction, algorithm decoding, or reengineering.

Capturing gen AI opportunities

Most of the executives we consulted deemed the barriers to implementing gen AI in R&D as either “large” or “very large”; only 25 percent of survey respondents characterized them as “small.” Indeed, the lack of systematic integration of gen AI into companies’ existing operating models can be attributed to the major organizational and cultural changes such integration requires.

For gen AI applications to add value across the R&D process, a holistic, value-centered approach that goes beyond tech and data is needed. Only by building the range of necessary capabilities and culture can companies expect to reap the benefits of new technologies such as gen AI (exhibit).

A road map centered on value

A surprising number of transformations lack clear and specific targets for value. Without that clarity and alignment at the leadership level, companies struggle to marshal the necessary resources and track progress. Building support and alignment around that value is critical.

  • Frame gen AI as an enabler. A major theme in our discussion with R&D executives was avoiding gen AI backlash in the organization by properly positioning the benefits of gen AI via a preemptive discussion. Presenting gen AI as an enabler and accelerator rather than as a means of cost reduction and job destruction is critical to a successful adoption.

Addressing legal and ethical considerations

When it comes to using gen AI, executives in our discussions and the survey were most concerned about data protection and related legal concerns. While gen AI is initially introduced by tech departments, companies must develop a strong adoption framework that encompasses R&D, legal, risk, and compliance. Companies in the critical-infrastructure space are already facing a rapidly developing regulatory environment to define permissible uses of gen AI, including criteria for data usage and guardrails.

  • Safeguarding proprietary data. It is imperative to ensure that proprietary data does not leak into vendors’ gen AI models and that potentially proprietary data is not being used in gen AI responses. A clear understanding of the terms of service for commercial gen AI offerings can help establish internal rules to guide decision makers in using and protecting proprietary data.
  • Regulatory frameworks and ethics committees. A predefined regulatory framework and a nimble, rapid escalation mechanism to clarify borderline cases can provide the legal and ethical foundation for widespread use of gen AI. This can help protect companies from potential liability claims as well as reduce uncertainty for engineers who are formulating new gen AI use cases. For example, some leading companies are establishing gen AI ethics committees with members from outside the organization to provide an independent perspective on the ethical use of gen AI as case law evolves.
  • Early alignment on guardrails. Responsible and ethical gen AI deployment in automotive R&D requires early agreement on guardrails for the technology and a rapid ethics and legal approval process involving legal, risk, cybersecurity, data protection, and compliance.
  • Clear guidelines and protocols. Establishing clear guidelines and protocols helps ensure compliance with ethical and legal requirements, including data privacy, algorithmic bias, transparency, and accountability. A well-defined and efficient approval process involves clear documentation of objectives, data sources, algorithms used, and potential risks and mitigation strategies. Ongoing monitoring and evaluation of gen AI projects helps maintain the technology’s integrity and supports its trustworthiness and acceptance.
  • A clear and consistent change narrative. Internal stakeholders—chief experience officers, managers, employees, and relevant departments such as legal, ethics, and compliance—should be engaged in the process of defining the change narrative. This collaborative approach ensures that all perspectives within the organization are considered and that the resulting narrative is comprehensive and aligned with the organization’s goals. The change narrative should address ethical considerations, including data privacy, algorithmic bias, transparency, and accountability, and it should be consistently communicated to all stakeholders (see sidebar, “Addressing legal and ethical considerations”). This helps build trust, understanding, and support for gen AI implementation and encourages all members of the organization to support its strategic objectives.
  • Empower C-suite leaders. A crucial first step can be providing C-suite leaders with relevant data and case studies that demonstrate the potential impact of gen AI on the organization’s strategic objectives in a clear and concise manner. In an ideal situation, C-suite leaders are briefed on the ethical and legal considerations of gen AI and the importance of establishing guardrails and nimble ethics and legal approval processes. By modeling a pioneering mindset, C-suite leaders can foster a culture of innovation and experimentation within the organization. R&D departments can support these leaders in ensuring that gen AI is implemented in a responsible and effective manner that maximizes benefits for the organization.
  • Build a visible lighthouse to inspire the organization. This can prove to be a key strategy for R&D departments in automotive. By identifying a high-impact use case for gen AI and showcasing its potential, R&D teams can motivate and inspire the rest of the organization to explore new possibilities and embrace innovation. Once the lighthouse is successful, R&D leadership will need to build a set of mutually reinforcing and supporting use cases. Simply building out use cases in isolation and without coordination often leads to considerable activity but little value.

Empowering and training talent: Two gen AI copilots

Gen AI will certainly affect jobs, but McKinsey analysis indicates that models will often function as copilot applications that support the work employees are already performing. 2 “ The economic potential of generative AI: The next productivity frontier ,” McKinsey, June 14, 2023. The changes will include assuming monotonous tasks, such as writing briefs or drafting documentation. This in turn will enable employees to spend more time on more rewarding tasks—for example, generating ideas and creative solutions and drafting initial code for review. Building talent capabilities can be much more of a training exercise than a hiring objective.

Several R&D organizations have already begun implementing copilots, including one focused on writing requirement documents. Copying and pasting text from different versions of such documents often leads to inconsistencies and, in the worst cases, convoluted documents with unnecessary requirements. A German OEM that implemented this copilot has realized efficiency gains of 20 percent and eased the workloads of several hundred engineers. The copilot has been continuously enhanced with additional features, such as checks against International Organization for Standardization (ISO) norms, that have contributed additional time savings.

Another gen AI copilot, implemented by a German automotive OEM, aims to reduce compliance task preparation time for a broad set of employees. In this case, the gen AI application automatically extracts norms from ISO and similar documents, consolidates them, and checks for adherence to and compliance with existing process documentation. It is expected to reduce audit preparation efforts by 20 to 30 percent when it is eventually expanded to derive to-do items automatically and identify synergies across norms and process documentation.

Workers will need time and training to learn how to best use their copilots, test and build trust in the results, and gain reassurance from interactions that yield the correct answers.

Innovating the operating model

For teams to work quickly and effectively, they need independence, clear guidelines and goals, and access to gen AI tools and capabilities. Given the uncertainties and evolving landscape around risk, experts in the field need to be embedded with working teams to identify issues early on and manage a thoughtful risk review and approval process. Crucial elements include the following:

  • Cross-functional teams. To fully leverage gen AI, companies should establish cross-functional teams consisting of experts from various disciplines who can collaborate effectively to drive innovation. A culture of collaboration and experimentation enables teams to solve complex problems and deliver powerful solutions.
  • Streamlined processes. To unlock the bottom-line potential of gen AI, existing processes must be redesigned and costs must be systematically reduced or removed—for example, by streamlining workflows, eliminating manual process steps, and reshaping roles.
  • Clear mandates. To ensure accountability and drive results, leaders should establish robust mandates that clearly define objectives, deliverables, and timelines for these teams. By empowering teams with the necessary resources and authority, R&D departments can foster a sense of ownership and responsibility among team members, enabling them to achieve their goals and deliver tangible outcomes.

Building technology foundations

Similar to digital use cases, the top barriers to adoption of gen AI use cases include data silos, permission issues, and tech stacks that prove inadequate to support the new technology.

Implementing gen AI depends on scalable infrastructure, which includes robust architecture, efficient resource allocation, and proactive adaptation to evolving technological landscapes. In addition, a coherent but modular data platform is an essential element to a technical foundation that supports a scalable use of gen AI. Ideally, the technology foundation should provide access to different gen AI models to enable broader sets of use cases and support cost-efficient implementation. The vast amount of data to be processed and the open architecture required to integrate with vendor-hosted large language models mean that cloud-based infrastructures and platforms are desirable, as they can provide the flexibility and robustness needed.

Creating robust data governance

A lack of value assurance for data and a lack of training-data availability from suppliers are substantial challenges, highlighting the technical and organizational centrality of data.

Although gen AI does not typically require vast amounts of data to deliver value, most use cases do benefit from systematic prompt enrichment using proprietary data, which needs to be administered with strict data governance to restrict visibility and accessibility of the proprietary data to what is permissible and desirable.

Data ownership, data taxonomy, and ontology are required to feed models with the necessary clean and representative data for training. A comprehensive approach is not ideal; rather, a set of pragmatic solutions for various use cases, introduced in parallel, is more likely to yield success. For example, companies can begin cataloging test cases, establish data governance for these test cases, and create a repository of high-quality test-case data in a structured data lake.

Maintaining strict assurance that solutions are adopted and scaled to capture value

The effects of the transformed R&D process should be carefully measured, evaluated, and corrected where needed. A clear and accepted baseline is essential to demonstrate the positive impact of gen AI.

Similarly, a value capture governance framework and supporting incentives will help avoid unnecessary costs for licenses and training. An organization with a strong business value can help realize bottom-line or top-line benefits enabled by higher productivity and shorter time to market.

R&D departments can be better served by prioritizing gen AI use cases with the highest potential impact and lowest risk. These use cases can then be grouped into waves of deployment based on their complexity and interdependencies, thus delivering tangible business value and building momentum for the next wave of deployments. Collaboration and knowledge sharing across teams and waves can help maximize benefits.

Capturing the value of gen AI in R&D starts with a clear vision for its use and a systematic approach to identifying and prioritizing use cases. Each use case pilot should be followed by developing a product that is supported with robust change management, value accrual, capability building, and a road map outlining the next wave of use cases to transform the entire process chain. Value can be captured only by ensuring that gen AI benefits are applied day to day.

Implementing several use cases, partly in parallel, facilitates successive iteration and refinement of the gen AI approach, strategy, and vision over time. Such an approach ensures a swift and scalable capture of value from gen AI innovations.

Peter Cholewinski is an associate partner in McKinsey’s Berlin office, where Wolf Richter and Matthias Roggendorf are partners and Andreas Venus is a senior partner. Martin Kellner is a partner in the Munich office, where Andreas Tschiesner is a senior partner.

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High Tech Devices Boon or Bane | The Impact of Tech on Our Lives

High Tech Devices Boon or Bane edumantra.net

High Tech Devices Boon or Bane – Today, we are surrounded by technology . The movement of this technology into the homes, businesses and even schools has created a new generation that is constantly using these devices.

  Video games, Internet, Cell Phones and other high-tech gears are just part of growing up in a digital world. But parents are concerned about the amount of time their children spend with these and worry that it might be distracting and cramping academic and social development. Using your own ideas and those taken from the unit Science, write an article in about 180 words, describing both the benefits and harms of using these high-tech devices.

  Ans.                                               High-Tech Device—Boon or Bane

The present-day high-tech gear is just a part of growing up in a digital world. Nevertheless one cannot deny that all these gadgets have become a part and parcel of our daily lives. Besides we have become highly dependent on these devices. This is more so in the case of children. Their lives are completely ruled by these devices. No doubt that these devices have many benefits but the benefits are only in a condition when they are used wisely. They have made our lives easier and more comfortable. They have made the world jump forward with a leap and built up a glittering modern world. They have also opened innumerable avenues for the growth of knowledge and have given a definite form to the wild imagination of man. They have indeed revolutionized every sphere of life. But on the other hand, the excessive interest of children in these gadgets has made parents concerned and worried. Children spend a great deal of time on gadgets like video games, cell phones, etc. The parents feel that excessive use of these gadgets will definitely lie destructive for the children. This could also cramp their academic and social development. If children are not checked. They would continue to waste time on these gadgets.  They will recline into their own high-tech shell. Thereupon it will become very difficult for parents to bring them out of the tech world. If these high-tech devices are used in moderation they can fulfill the purpose, for which they have been invented,

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High tech devices blessing or boon article- 100 words.

High Tech Devices Blessing or Boon Article- 100 Words  edumantra.net

High tech devices are becoming more and more commonplace in our society. While there are many benefits to this increase in technology, there are also some potential drawbacks. One of the biggest concerns is that high tech devices can be a distraction from real life interaction. Another worry is that too much reliance on high tech devices can lead to a decrease in critical thinking and problem-solving skills. On the other hand, there are many blessings that come with high tech devices. For instance, they can help us stay connected with loved ones who live far away or provide us with access to information and news from around the world. They can also be a great source of entertainment, helping us to relax and unwind after a long day. Overall, while there are some potential negatives associated with high tech devices, there are also many positive aspects that should not be ignored.

High Tech Devices Blessing or Boon Article 150 Words

High Tech Devices Blessing or Boon Article 150 Words edumantra.net

High tech devices are becoming more and more commonplace in our everyday lives. While they can certainly be a blessing, providing us with instant access to information and communication, they can also be a real bane. It can be all too easy to get lost in a sea of social media notifications, emails, and text messages. All these things may lead to decreased productivity and even anxiety and depression. High tech devices have revolutionized the way we live and work, making our lives easier, more efficient, and more connected. They’ve also opened up new opportunities for businesses and entrepreneurs.  So finally weighing the pros and cons, it’s clear that high tech devices are more of a blessing than a boon. While there may be some potential risks associated with their use, the benefits far outweigh any negatives. So if you’re on the fence about whether or not to embrace high tech devices, my advice is to go for it! If you find yourself struggling to stay focused or manage your time effectively, it might be time to take a step back and reassess your relationship with technology.

Article on High Tech Devices Boon or Bane – 200 Words

There is no question that high tech devices have become a staple in our lives. We rely on them for everything from communication to entertainment to work and study. But are they really a blessing, or have they become more of a curse? There is no doubt that high tech devices have made our lives easier in many ways. For example, we can now stay in touch with our friends and family all over the world with just a few clicks of a button. And if we want to watch a movie or TV show, we can do so without even leaving our homes. But there are also some downsides to high tech devices. They can be very addictive, and many people find themselves spending too much time staring at screens instead of interacting with the real world. They can also be quite expensive, and when they break down, it can be difficult and costly to fix them. So what’s the verdict? Are high tech devices a blessing or a curse? The answer is probably somewhere in between. They definitely have their pros and cons, but ultimately it’s up to each individual to decide whether they are helping or hindering their life.

High Tech Devices Blessing or Boon Article

Introduction

Technology is something that is becoming more common in society. Technology is becoming more integrated in everyday life. They are a part of our everyday lives, from the smartphone in our pocket to the smartwatch on our wrist. But are these devices a blessing or a boon? On the one hand, high tech devices can make our lives easier. We can stay connected with loved ones no matter where we are in the world, we can access information at the touch of a button, and we can entertain ourselves with games and videos. On the other hand, high tech devices can be a distraction from the real world. They can lead to addiction, they can be expensive, and they can be difficult to repair or replace. So, what is the verdict? Are high tech devices a blessing or a boon? You decide.

What are High Tech Devices?

High tech devices are electronic devices that are highly advanced and use cutting-edge technology. They are usually more expensive than regular devices but offer more features and better performance. Some examples of high tech devices include smartphones, tablets, laptops, and gaming consoles.

The Pros and Cons of High-Tech Devices

There are pros and cons to everything in life, and high-tech devices are no different. On the one hand, these devices can make our lives easier and more efficient. We can use them to stay connected with loved ones, get work done, and entertain ourselves. On the other hand, they can be expensive, addictive, and distracting. When it comes to high tech devices, you must weigh the pros and cons carefully before making a decision. Here are some things to consider:

Pros of High Tech Devices:

  • High-tech devices can make our lives more efficient and convenient. For example, we can use GPS devices to get around more easily, or online banking apps to manage our finances on the go.
  • These devices can also help us stay connected with others. We can use social media apps to stay in touch with friends and family, or video chat platforms to communicate with colleagues.
  • High-tech devices can also be a source of entertainment. We can use them to stream our favorite TV shows and movies or play games when we have some free time.

Cons of High Tech Devices:

  • There is a risk that we may become too reliant on high-tech devices. If we rely on them too much, we may find it difficult to function without them.
  • These devices can also be a distraction from the people and things around us. If we’re constantly checking our phones or tablets, we may miss out on real-life interactions with others.
  • There is also the potential for high-tech devices to be used for nefarious purposes. For example, hackers could use our personal information from these devices to steal our identity or commit other crimes.

Here are some tips for making sure high-tech devices are a blessing rather than a curse:

1. Set limits on your usage of high tech devices. Whether it’s setting aside specific times of day for checking social media or only allowing yourself to check email twice a day, establish rules for yourself so you don’t get sucked into an online black hole. 2. Keep work and play separate. When you’re at work, focus on work tasks and leave personal devices at home or out of sight. That way, when you’re done with work for the day, you can truly relax and enjoy your free time without any distractions. 3. Make sure you’re getting enough sleep. Too much screen time before bed can lead to insomnia, so make sure you’re disconnecting at least an hour before you want to go to sleep.

How high-tech devices are changing our lives

In the past few years, high tech devices have become more and more commonplace in our lives. From smartphones to tablets to smart watches, it seems like there’s a new gadget coming out every day. And while some people worry about the potential negative effects of all this technology, others believe that these devices are changing our lives for the better. One of the biggest ways that high tech devices are changing our lives is by making communication easier than ever before. With just a few taps on a screen, we can instantly connect with anyone in the world. Whether we’re sending a text message to a friend or video chatting with a family member who lives far away, these devices make it easy to stay in touch with the people we care about. Another way that high tech devices are changing our lives is by giving us access to vast amounts of information at our fingertips 24/7. No longer do we have to go to the library or wait for a book to come in the mail – we can simply do a quick Google search and find whatever we’re looking for in seconds. This instant access to information has made learning quicker and easier than ever before. Lastly, high tech devices are changing our lives by making everyday tasks simpler. From ordering groceries online to hailing a ride with the tap of a button, there’s no doubt that these gadgets have made our lives much easier. And as technology continues to advance, it’s likely

Are high tech devices a blessing or a curse?

High tech devices have made life much easier and more convenient for people all over the globe. However, there is a growing concern that these devices are also having a negative impact on our health and well-being. On one hand, high tech devices such as smartphones and tablets allow us to stay connected with loved ones, access information quickly and easily, and get work done while on the go. They’ve also been shown to improve productivity and efficiency in both the workplace and educational settings. On the other hand, there is evidence that suggests too much reliance on high tech devices can lead to problems such as anxiety, depression, sleep disorders, and even addiction. There is also concern that the constant use of electronic screens can damage our eyesight and cause headaches or migraines. So what’s the verdict? Are high tech devices a blessing or a curse? Ultimately, it seems that it depends on how they’re used. If used in moderation, high tech devices can enhance our lives in many ways. However, if we become too reliant on them, they can definitely have negative consequences on our health and well-being.

It’s hard to say whether high tech devices are a blessing or a boon. On the one hand, they can make our lives much easier and more efficient. On the other hand, they can also be expensive and cause us to become too reliant on technology. Ultimately, it’s up to everyone to decide whether high tech devices are worth the investment.

People Also Ask:

1. Are technologies boon or bane? Ans: They are both boon and bane. They can give us a great advantage over other people, but they can also be dangerous and destructive if not used properly.

2. What are the benefits of high-tech devices? Ans: Devices such as smartphones, laptops, and tablets allow us to stay connected with our loved ones, learn more quickly, and work on projects. They can also help us stay organized and have more control over our lives.

3. How technology is a boon? Ans: Technology has greatly increased our access to knowledge. It allows us to learn more effectively and faster. This is a great boon for students, as it allows them to obtain the skills they need in a shorter amount of time.

4. Is technology a boon or bane to education? Ans: In some ways, technology is a boon to education. It helps us learn and memorize information much more quickly and easily than ever before. On the other hand, there are also some negatives to using too much technology in the classroom.

5. Is technology boon or bane advantages and disadvantages? Ans: I believe that technology has both advantages and disadvantages. Advantages of technology include its ability to communicate and collaborate quickly, as well as its ability to store large amounts of data. Disadvantages of technology include the fact that it can also be distracting, cause cyberbullying, and lead to physical injuries.

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High Tech Argumentative Essays Samples For Students

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WowEssays.com paper writer service proudly presents to you an open-access directory of High Tech Argumentative Essays intended to help struggling students tackle their writing challenges. In a practical sense, each High Tech Argumentative Essay sample presented here may be a pilot that walks you through the crucial phases of the writing procedure and showcases how to compose an academic work that hits the mark. Besides, if you need more visionary help, these examples could give you a nudge toward an original High Tech Argumentative Essay topic or inspire a novice approach to a banal issue.

In case this is not enough to slake the thirst for effective writing help, you can request personalized assistance in the form of a model Argumentative Essay on High Tech crafted by an expert from scratch and tailored to your particular instructions. Be it a simple 2-page paper or a profound, lengthy piece, our writers specialized in High Tech and related topics will deliver it within the pre-agreed timeframe. Buy cheap essays or research papers now!

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EU AI Act: first regulation on artificial intelligence

The use of artificial intelligence in the EU will be regulated by the AI Act, the world’s first comprehensive AI law. Find out how it will protect you.

A man faces a computer generated figure with programming language in the background

As part of its digital strategy , the EU wants to regulate artificial intelligence (AI) to ensure better conditions for the development and use of this innovative technology. AI can create many benefits , such as better healthcare; safer and cleaner transport; more efficient manufacturing; and cheaper and more sustainable energy.

In April 2021, the European Commission proposed the first EU regulatory framework for AI. It says that AI systems that can be used in different applications are analysed and classified according to the risk they pose to users. The different risk levels will mean more or less regulation. Once approved, these will be the world’s first rules on AI.

Learn more about what artificial intelligence is and how it is used

What Parliament wants in AI legislation

Parliament’s priority is to make sure that AI systems used in the EU are safe, transparent, traceable, non-discriminatory and environmentally friendly. AI systems should be overseen by people, rather than by automation, to prevent harmful outcomes.

Parliament also wants to establish a technology-neutral, uniform definition for AI that could be applied to future AI systems.

Learn more about Parliament’s work on AI and its vision for AI’s future

AI Act: different rules for different risk levels

The new rules establish obligations for providers and users depending on the level of risk from artificial intelligence. While many AI systems pose minimal risk, they need to be assessed.

Unacceptable risk

Unacceptable risk AI systems are systems considered a threat to people and will be banned. They include:

  • Cognitive behavioural manipulation of people or specific vulnerable groups: for example voice-activated toys that encourage dangerous behaviour in children
  • Social scoring: classifying people based on behaviour, socio-economic status or personal characteristics
  • Biometric identification and categorisation of people
  • Real-time and remote biometric identification systems, such as facial recognition

Some exceptions may be allowed for law enforcement purposes. “Real-time” remote biometric identification systems will be allowed in a limited number of serious cases, while “post” remote biometric identification systems, where identification occurs after a significant delay, will be allowed to prosecute serious crimes and only after court approval.

AI systems that negatively affect safety or fundamental rights will be considered high risk and will be divided into two categories:

1) AI systems that are used in products falling under the EU’s product safety legislation . This includes toys, aviation, cars, medical devices and lifts.

2) AI systems falling into specific areas that will have to be registered in an EU database:

  • Management and operation of critical infrastructure
  • Education and vocational training
  • Employment, worker management and access to self-employment
  • Access to and enjoyment of essential private services and public services and benefits
  • Law enforcement
  • Migration, asylum and border control management
  • Assistance in legal interpretation and application of the law.

All high-risk AI systems will be assessed before being put on the market and also throughout their lifecycle.

General purpose and generative AI

Generative AI, like ChatGPT, would have to comply with transparency requirements:

  • Disclosing that the content was generated by AI
  • Designing the model to prevent it from generating illegal content
  • Publishing summaries of copyrighted data used for training

High-impact general-purpose AI models that might pose systemic risk, such as the more advanced AI model GPT-4, would have to undergo thorough evaluations and any serious incidents would have to be reported to the European Commission.

Limited risk

Limited risk AI systems should comply with minimal transparency requirements that would allow users to make informed decisions. After interacting with the applications, the user can then decide whether they want to continue using it. Users should be made aware when they are interacting with AI. This includes AI systems that generate or manipulate image, audio or video content, for example deepfakes.

On December 9 2023, Parliament reached a provisional agreement with the Council on the AI act . The agreed text will now have to be formally adopted by both Parliament and Council to become EU law. Before all MEPs have their say on the agreement, Parliament’s internal market and civil liberties committees will vote on it.

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High-Tech Harvest and Technology of Destruction Essay

Introduction.

The intensive development of technology have revealed numerous benefits for people thus improving and simplifying their life and contributing to the advancement of standard of living. However, the technological development may turn out to be disastrous in case it concerns the design of military weapon. In this regard, both articles under consideration reveal different merits and shortcomings of technology introduction to various spheres of social and political life. Hence, Mike Fillon, the author of the article High-tech Harvest (2000), argues the necessity for farmers to acquire knowledge about computerized agronomy. The second article called The Technology of destruction by Tarshis and Lubrano (1991) reveals the negative outcome of technology penetration to the military field.

The main point of Fillon’s article consists in disclosing the information about recent inventions in the agricultural sphere, namely the technologies regulating farming procedure, soil efficiency, and yield control by means of the Global Position System (GPS). In particular, the author considers the advantages and disadvantages of local irrigation and the latest inventions and researches in this field aimed at analyzing the soil and the amount of water required for irrigation. Further, the author puts an emphasis on the value of GPS of yield control that greatly contribute to an in-depth examination of soil indicators.

When analyzing the second article, one can pursue the technological advancement of weapons and the way it negatively influences the life of people throughout the history. Hence, the author expresses its negative attitude the interconnection between computer, mechanized technology, and changes in weapon. In the beginning of the article, the author provides a history of military innovations and the way they sophisticated the war action thus increasing the scales of weapon application and the number of victims. Through the vivid presentation of automated devices, the author intends to reveal the truth of veritable destination of weapon.

It can be explicitly viewed that both articles provide different evaluation of technology intervention with different spheres of application. Hence, Fillon is more concerned with delivering the necessity of using agricultural computer programs and machines to increase the yield levels and contribute to an overall welfare of society. Therefore, the article is relevant for culturally diverse layers of world community. This article is also of practical use for the farmers who lack knowledge about recent technological introductions, as they will become more aware of the measures that can be taken for improving the current state of agriculture. It would have been better if the author provide more evaluation of the role of technologies for farming. Therefore, it would have been desirable if he applies a more consistent approach to the study of this issue.

Unlike the previous article, Technology of Destruction discloses veritable aims of huge technological industries producing weapon of mass destruction. By means of this, the article reveals the negative outcomes of military technical programs leading to the extinction of people on the Earth. More importantly, it is necessary to approve the authors’ attempts on reducing the impact of weapon of the social, political, and cultural welfare. Though the article is a mere historical representation of facts, one can easily follow the directly proposition dependence of technological achievements and their application in the military field. It would have been a great plus for the article to include qualitative analysis of technological achievement and comparative evaluation of the changes occurred in the course of history.

As a conclusion, it is worth saying both articles investigate a contrasting impact of computer era on different branches of social development. In particular, this two-polar analysis reveals that improvement of computer programs does not always have a positive impact, as it has been considered by Tarshis and Lubrano. Nevertheless, both articles calls for an active study of latest achievement for readers to be aware do’s and don’ts of introduction of mechanized process. Therefore, both articles are of considerable value for the readers and for the researchers.

Fillon, M. 2000. High-tech Harvest. Popular Mechanics . 177(8). pp. 72-5.

Tarshis, L., and Lubrano, A. 1991. Technology of destruction. Scholastic Update . 123(13), pp. 110-114.

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essay about high tech

Scoring goals for the planet with greener buildings

JCI’s smart solution for sustainable spaces.

essay about high tech

Accenture + Intel Partnership

The Accenture and Intel Partnership delivers ideal client outcomes for diverse companies across industries.

essay about high tech

Cracking the code to smarter B2B technology sales

Multinational tech company unlocks big revenues with a rapid pilot approach to selling cloud services.

essay about high tech

Seizing a $1B+ revenue opportunity with SMBs

We helped a tech provider tackle its top 3 SMB needs—value, support and personalization— with AI and insights.

High Tech essays

essay about high tech

Surpass your competition with the power of genAI

Generative AI is revolutionizing the High Tech industry to unlock unique customer experiences and gain better insights than the competition.

essay about high tech

High Tech perspectives

Our experts share their thoughts on the latest trends, industry insights, relevant topics  and news to keep you always informed and up to date.

essay about high tech

Looking back at what’s ahead

300 global executives surveyed the state of the semiconductor industry and identified 4 of the greatest opportunities to grow the business.

essay about high tech

How visibility boosts supply chain resilience

How can High Tech companies beat supply chain disruption? A good way is to build greater supply chain visibility.

XaaS FILES

Sharing as-a-Service stories of growth and value.

AI Can’t Design Chips Without People

AI needs human domain expertise to solve chip design challenges.

The German Chip Sector’s Next Challenge: Labor

With a third of EU semiconductors coming from Saxony; universities and research institutes are key to finding success in skilled talent in the region.

The Urgency to Reduce Scope 3 Emissions in High Tech

Reducing scope 3 emissions for high-tech companies has been difficult due to a lack of visibility across the supply chain. Here are steps to get started.

The Metaverse: High Tech’s new gold rush

The time is now for high tech companies to explore new ways to expand beyond their core hardware business to the potentially more lucrative metaverse.

Smart packaging with IoT goes beyond better tracking

Smarter boxes and a data-driven approach to product delivery create new opportunities for improving both products and customer engagements.

TCL selects Blue Yonder and Accenture to transform supply chain planning capabilities

Global smart device manufacturer will improve organizational efficiency with Blue Yonder in collaboration with Accenture.

Our leaders

essay about high tech

Guido D'hert

essay about high tech

Arun Khurana

essay about high tech

Ryosuke Sato

essay about high tech

Shanshan Wu

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  1. Technology Essay

    essay about high tech

  2. How To Write Ga Tech Essay

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  3. Best Essay On Technology [& Its Impacts]

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  4. 🎉 High technology essay. Prof. Ellwanger: Chatbot’s Essay Doesn’t Make

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  5. Tech Theatre College Essay Example

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  6. Does Technology Enhance Students Learning Essay Example

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  1. The HARDEST Class at Harvard

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  5. Top 5 High-Tech Gadgets Under ₹500

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COMMENTS

  1. 200-500 Word Example Essays about Technology

    But writing a technology essay can be challenging, especially for those needing more time or help with writer's block. ... Many high-profile data breaches have occurred in recent years, exposing the personal information of millions of individuals and raising serious concerns about the safety of this information. Companies and governments have ...

  2. How Is Technology Changing the World, and How Should the World Change

    Technologies are becoming increasingly complicated and increasingly interconnected. Cars, airplanes, medical devices, financial transactions, and electricity systems all rely on more computer software than they ever have before, making them seem both harder to understand and, in some cases, harder to control. Government and corporate surveillance of individuals and information processing ...

  3. Technology Essay for Students in English

    Essay on Technology. The word "technology" and its uses have immensely changed since the 20th century, and with time, it has continued to evolve ever since. We are living in a world driven by technology. The advancement of technology has played an important role in the development of human civilization, along with cultural changes.

  4. Essay on Technology

    Experts are debating on this topic for years. Also, the technology covered a long way to make human life easier but the negative aspect of it can't be ignored. Over the years technological advancement has caused a severe rise in pollution. Also, pollution has become a major cause of many health issues. Besides, it has cut off people from ...

  5. High Tech Essay Examples

    76 samples on this topic. To some students, writing High Tech papers comes easy; others need the help of various types. The WowEssays.com database includes professionally crafted sample essays on High Tech and related issues. Most definitely, among all those High Tech essay examples, you will find a paper that resonates with what you perceive ...

  6. High Tech Materials and Designs

    Ichikawa, K. Functionally graded materials in the 21st century: a workshop on trends and Forecasts, Springer. (2002). 56-60. This essay, "High Tech Materials and Designs" is published exclusively on IvyPanda's free essay examples database. You can use it for research and reference purposes to write your own paper.

  7. PDF The high-tech industry, what is it and why it matters to our economic

    High-tech industries accounted for 16.9 million jobs in 2014, or 12.0 percent of total employment. (See chart 1.) From 1994 to 2024, the share of employment in high-tech industries has stayed within a narrow range of 11.3 percent to 12.1 percent. Notable during this period was the impact of the two recessions, the dot-com bubble

  8. High Tech And Low Life: [Essay Example], 735 words GradesFixer

    By modifying your body, you will completely change how your body works. In simpler words, according to a myth, we only really use 10%of our brain, so by modifying our body we are, in fact, technologically increasing that capacity. In terms of predicting what the final product may be, I have a rather clear view.

  9. How to Write the Caltech Supplemental Essays 2023-2024

    Caltech has four required supplemental essays, and three shorter optional essays, with word limits of 150, 100, and 50, respectively. Because Caltech is one of the most academically rigorous schools in the country, you want to be sure that your essays capture your intellectual and creative potential. In this post, we'll break down each prompt ...

  10. The Moral Economy of High-Tech Modernism

    High-tech modernism and high modernism are born from the same impulse to exert control, but are articulated in fundamentally different ways, with quite different consequences for the construction of the social and economic order. The contradictions between these two moral economies, and their supporting institutions, generate many of the key ...

  11. Essay on Technology For Students In English

    The word technology comes from the two Greek words, 'techne' and 'logos'. Techne means art, skills, or craft, and Logos means a word, saying, or expression that expresses inward thought. Thus, technology means the skill to convey an idea to reach a goal. But nowadays, the term technology mainly signifies the knowledge of tools, machines ...

  12. An overview of High-tech Architecture

    High-Tech architecture is also known as 'late modernism' or 'structural expressionism'. This architectural style is the one that incorporates elements from new high-tech industries and advanced construction techniques into building design. It was developed in the 1970s, originally in Britain, and utilised advanced technology and new ...

  13. Transforming automotive R&D with gen AI

    Ideally, the technology foundation should provide access to different gen AI models to enable broader sets of use cases and support cost-efficient implementation. The vast amount of data to be processed and the open architecture required to integrate with vendor-hosted large language models mean that cloud-based infrastructures and platforms ...

  14. Artificial Intelligence In The Classroom: What Do Educators Think

    In recent years, the meteoric rise of artificial intelligence (AI) has sent shockwaves through society on both economic and cultural levels. Seemingly poised to become as ubiquitous as email, this ...

  15. Cybercrime Is a Global Problem: Increasingly Social and Mobile Essay

    The increasing global prominence of the internet is a major source of concern for law enforcers because of the increasing sophistication of fraudsters. Law enforcement agencies in many parts of the world now have cybercrime divisions that tackle the increasing challenge of high tech fraud. This paper reviews an article published by Shaik and ...

  16. Technology And High Tech Technology

    High-tech assistive technology refers to items such as computers, multimedia software, and other electronic-based programs (Bouck, Maeda, & Flanagan, 2012). An increasing number of schools are incorporating technology into their curriculum. This also extends to students who require special education.

  17. Technology essay

    Technology essay Introduction - Technology helps in development. Related :- The best essay on advantages and disadvantages of Technology . • Technology essay Introduction (4th example) Technology has transformed human beings into an interplanetary species , we have made such astonishing developments that couldn't even be imagined just 100 or 200 years before .

  18. High Tech Devices Boon or Bane

    Here are some tips for making sure high-tech devices are a blessing rather than a curse: 1. Set limits on your usage of high tech devices. Whether it's setting aside specific times of day for checking social media or only allowing yourself to check email twice a day, establish rules for yourself so you don't get sucked into an online black ...

  19. High Tech Argumentative Essays Samples For Students

    Looking for Argumentative Essays on High Tech and ideas? Get them here for free! We have collected dozens of previously unpublished examples in one place.

  20. EU AI Act: first regulation on artificial intelligence

    As part of its digital strategy, the EU wants to regulate artificial intelligence (AI) to ensure better conditions for the development and use of this innovative technology. AI can create many benefits, such as better healthcare; safer and cleaner transport; more efficient manufacturing; and cheaper and more sustainable energy.. In April 2021, the European Commission proposed the first EU ...

  21. High-Tech Architecture Movement: EssayZoo Sample

    High-tech architects preferred the application of shear surfaces and lightweight building materials (Bedon and Amadio 67). Initially, high-tech buildings were referred to as "sheds" due to the exposure of mechanical service ducts and the use of exposed structural steel hollow tubes and sections.

  22. High-Tech Harvest and Technology of Destruction Essay

    Hence, Mike Fillon, the author of the article High-tech Harvest (2000), argues the necessity for farmers to acquire knowledge about computerized agronomy. The second article called The Technology of destruction by Tarshis and Lubrano (1991) reveals the negative outcome of technology penetration to the military field.

  23. High-Tech Crimes

    High-tech criminals continue to be equipped with modern trends of technology and become lethal in their activities. The activities become more advanced that the government cannot keep up with the pace. Marc Goodman opines that criminal activities are quickly going high-tech, and law enforcement agencies are already struggling to keep up with ...

  24. High Tech Personal Statement

    High Tech has students from all walks of life who are some of the brightest minds out there. There is nothing more satisfying than knowing that you are amongst some of the best and brightest- to become a part of this elite group will not only be an honor, but it will be an opportunity which opens endless doors for my future.

  25. High Tech Consulting Services & Solutions

    Transforming the High Tech industry. Our latest Accenture study reveals eight trends that are triggering a new industry paradigm for High Tech. Evolving customer needs and macro-level shifts are spurring the need for technological evolution and operating model re-invention. The key imperatives for the CXO's are to focus on creating new value ...

  26. High-Tech Essays

    High Tech Babies Essay. 2021 Words | 5 Pages. High Tech Babies Humans have engaged in the healing arts in an attempt to improve life, save lives, and, with the advancement of technology, create life. The practice of medicine has always relied on tools created by humans to aid in treatments and research.