Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions.

Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.

Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning--major trends, possible developments, and significant challenges.

Byung-Chul Han is one of the most widely read philosophers in Europe today, a member of the new generation of German thinkers that includes Markus Gabriel and Armen Avanessian. In The Agony of Eros, a bestseller in Germany, Han considers the threat to love and desire in today's society. For Han, love requires the courage to accept self-negation for the sake of discovering the Other. In a world of fetishized individualism and technologically mediated social interaction, it is the Other that is eradicated, not the self. In today's increasingly narcissistic society, we have come to look for love and desire within the inferno of the same.

Han offers a survey of the threats to Eros, drawing on a wide range of sources--Lars von Trier's film Melancholia, Wagner's Tristan und Isolde, Fifty Shades of Grey, Michel Foucault (providing a scathing critique of Foucault's valorization of power), Martin Buber, Hegel, Baudrillard, Flaubert, Barthes, Plato, and others. Han considers the pornographication of society, and shows how pornography profanes eros; addresses capitalism's leveling of essential differences; and discusses the politics of eros in today's burnout society. To be dead to love, Han argues, is to be dead to thought itself.

Concise in its expression but unsparing in its insight, The Agony of Eros is an important and provocative entry in Han's ongoing analysis of contemporary society.

This remarkable essay, an intellectual experience of the first order, affords one of the best ways to gain full awareness of and join in one of the most pressing struggles of the day: the defense, that is to say--as Rimbaud desired it--the reinvention of love.
--from the foreword by Alain Badiou

Today's technology has overtaken religion as the chief influence on twenty-first century life and community. In Tech Agnostic, Harvard and MIT's influential humanist chaplain Greg Epstein explores what it means to be a critical thinker with respect to this new faith. Encouraging readers to reassert their common humanity beyond the seductive sheen of tech, this book argues for tech agnosticism--not worship--as a way of life. Without suggesting we return to a mythical pre-tech past, Epstein shows why we must maintain a freethinking critical perspective toward innovation until it proves itself worthy of our faith or not.

Epstein asks probing questions that center humanity at the heart of engineering: Who profits from an uncritical faith in technology? How can we remedy technology's problems while retaining its benefits? Showing how unbelief has always served humanity, Epstein revisits the historical apostates, skeptics, mystics, Cassandras, heretics, and whistleblowers who embody the tech reformation we desperately need. He argues that we must learn how to collectively demand that technology serve our pursuit of human lives that are deeply worth living.

In our tumultuous era of religious extremism and rampant capitalism, Tech Agnostic offers a new path forward, where we maintain enough critical distance to remember that all that glitters is not gold--nor is it God.

This is a book that students of architecture will want to keep in the studio and in their backpacks. It is also a book they may want to keep out of view of their professors, for it expresses in clear and simple language things that tend to be murky and abstruse in the classroom. These 101 concise lessons in design, drawing, the creative process, and presentation--from the basics of How to Draw a Line to the complexities of color theory--provide a much-needed primer in architectural literacy, making concrete what too often is left nebulous or open-ended in the architecture curriculum. Each lesson utilizes a two-page format, with a brief explanation and an illustration that can range from diagrammatic to whimsical. The lesson on How to Draw a Line is illustrated by examples of good and bad lines; a lesson on the dangers of awkward floor level changes shows the television actor Dick Van Dyke in the midst of a pratfall; a discussion of the proportional differences between traditional and modern buildings features a drawing of a building split neatly in half between the two. Written by an architect and instructor who remembers well the fog of his own student days, 101 Things I Learned in Architecture School provides valuable guideposts for navigating the design studio and other classes in the architecture curriculum. Architecture graduates--from young designers to experienced practitioners--will turn to the book as well, for inspiration and a guide back to basics when solving a complex design problem.

On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this short but powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most importantly, what we can do to safeguard our democracy, our society, and our future.

Marcus explains the potential--and potential risks--of AI in the clearest possible terms and how Big Tech has effectively captured policymakers. He begins by laying out what is lacking in current AI, what the greatest risks of AI are, and how Big Tech has been playing both the public and the government, before digging into why the US government has thus far been ineffective at reining in Big Tech. He then offers real tools for readers, including eight suggestions for what a coherent AI policy should look like--from data rights to layered AI oversight to meaningful tax reform--and closes with how ordinary citizens can push for what is so desperately needed.

Taming Silicon Valley is both a primer on how AI has gotten to its problematic present state and a book of activism in the tradition of Abbie Hoffman's Steal This Book and Thomas Paine's Common Sense. It is a deeply important book for our perilous historical moment that every concerned citizen must read.

What makes a city a city? Who says? Drafted over decades out of a dialogue between artist and author Nika Dubrovsky, the late anthropologist David Graeber, and Nika's then four-year-old son, this delightful and provocative book Cities Made Differently opens a space for invention and collaboration. Fusing anthropology, literature, play, and drawing, the book is essentially a visual essay that asks us to reconsider our ideas about cities and the people who inhabit them. Drawing us into a world of history and myth, science and imagination, Graeber and Dubrovsky invite us to rethink the worlds we inhabit--because we can, and nothing is too strange or too wonderful to be true.

With inspired pictures and prompts, Cities Made Differently asks what a city is, or could be, or once was. Sleeping at the bottom of the ocean? Buried in lava? What were those cities of long ago, and what will the cities of the future be? They might be virtual, ruled by AI, or islands of beautiful architecture afloat in seas of greenery. They might be utopian places of refuge or refugee camps as far as the eye can see. On land, underground or aloft, excavated or imagined, cities, this book tells us in provocative and funny ways, can be anything we want them to be--and what we want them to be can tell us something about who we are, what it is to be human, and what's possible when we make way for wonder.

Cities Made Differently exists in two versions, one for reading and thinking, the other, downloadable at a4kids.org, for drawing and dreaming.

INSIDE THE WAR ON TRUTH: Explore the history of how disinformation has been weaponized to manipulate society.

The effort to destroy facts and make America ungovernable didn't come out of nowhere. It is the culmination of 70 years of strategic denialism. In On Disinformation, Lee McIntyre shows how the war on facts began, and how ordinary citizens can fight back against the scourge of disinformation that is now threatening the very fabric of our society. Drawing on his 20 years of experience as a scholar of science denial, McIntyre explains how autocrats wield disinformation to manipulate a populace and deny obvious realities; why the best way to combat disinformation is to disrupt its spread; and most importantly, how we can win the war on truth.

McIntyre takes readers through the history of strategic denialism to show how we arrived at this precarious political moment and identifies the creators, amplifiers, and believers of disinformation. Along the way, he also demonstrates how today's reality denial follows the same flawed blueprint of the five steps of science denial used by climate deniers and anti-vaxxers; shows how Trump has emulated disinformation tactics created by Russian and Soviet intelligence dating back to the 1920s; provides interviews with leading experts on information warfare, counterterrorism, and political extremism; and spells out the need for algorithmic transparency from Facebook, Twitter, and YouTube. On Disinformation lays out ten everyday practical steps that we can take as ordinary citizens--from resisting polarization to pressuring our Congresspeople to regulate social media--as well as the important steps our government (if we elect the right leaders) must take.

Compact, easy-to-read (and then pass on to a friend), and never more urgent, On Disinformation does nothing less than empower us with the tools and knowledge needed to save our republic from autocracy before it is too late.

In Feminism in the Wild, Ambika Kamath and Melina Packer reveal how scientists studying animal behavior have long projected human norms and values onto animals while seeking to understand them. When scientific studies conclude that these norms and values are natural in animals, it makes it easier to think of them as natural in humans too. And because scientists, historically and to this day, largely belong to elite, powerful segments of society, the norms and values embedded in animal behavior science match those of the already powerful. How can animal behavior science escape this trap of naturalizing dominant culture?

Drawing from decades of feminist, antiracist, queer, disability justice, and Marxist contributions--including those of biologists--Kamath and Packer break down persistent assumptions in the status quo of animal behavior science and offer a multitude of alternative approaches. Core concepts in animal behavior science and evolutionary biology--from sex categories and sexual selection to fitness, adaptation, biological determinism, and more--are carefully contextualized and critically reexamined. This unique collaboration between an animal behavior scientist and a feminist science studies scholar is an illuminating and hopeful read for anyone who is curious about how animals behave, and anyone who wants to break free from scientific approaches that perpetuate systems of oppression.

Artificial intelligence surrounds us. More and more of the systems and services you interact with every day are based on AI technology. Although some very recent AI systems are generalists to a degree, most AI is narrowly specific; that is, it can only do a single thing, in a single context. For example, your spellchecker can't do mathematics, and the world's best chess-playing program can't play Tetris. Human intelligence is different. We can solve a variety of tasks, including those we have not seen before. In Artificial General Intelligence, Julian Togelius explores technical approaches to developing more general artificial intelligence and asks what general AI would mean for human civilization.

Togelius starts by giving examples of narrow AI that have superhuman performance in some way. Interestingly, there have been AI systems that are superhuman in some sense for more than half a century. He then discusses what it would mean to have general intelligence, by looking at definitions from psychology, ethology, and computer science. Next, he explores the two main families of technical approaches to developing more general artificial intelligence: foundation models through self-supervised learning, and open-ended learning in virtual environments. The final chapters of the book investigate potential artificial general intelligence beyond the strictly technical aspects. The questions discussed here investigate whether such general AI would be conscious, whether it would pose a risk to humanity, and how it might alter society.

The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition--as well as some we don't yet use every day, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of the new AI. This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias.

Alpaydin explains that as Big Data has grown, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He covers:

- The evolution of machine learning
- Important learning algorithms and example applications
- Using machine learning algorithms for pattern recognition
- Artificial neural networks inspired by the human brain
- Algorithms that learn associations between instances
- Reinforcement learning
- Transparency, explainability, and fairness in machine learning
- The ethical and legal implicates of data-based decision making

A comprehensive introduction to machine learning, this book does not require any previous knowledge of mathematics or programming--making it accessible for everyday readers and easily adoptable for classroom syllabi.

The human brain hasn't changed much since the Stone Age, let alone in the mere thirty years of the Screen Age. That's why, according to neurologist Richard Cytowic--who, Oliver Sacks observed, changed the way we think of the human brain--our brains are so poorly equipped to resist the incursions of Big Tech: They are programmed for the wildly different needs of a prehistoric world. In Your Stone Age Brain in the Screen Age, Cytowic explains exactly how this programming works--from the brain's point of view. What he reveals in this book shows why we are easily addicted to screen devices; why young, developing brains are particularly vulnerable; why we need silence; and what we can do to push back.

In the engaging storytelling style of his popular TED Talk, Cytowic draws an easily comprehensible picture of the Stone Age brain's workings--the function of neurotransmitters like dopamine in basic instincts for survival such as desire and reward; the role of comparison in emotion, and emotion in competition; and, most significantly, the orienting reflex, one of the unconscious circuits that automatically focus, shift, and sustain attention. Given this picture, the nature of our susceptibility to digital devices becomes clear, along with the possibility of how to break their spell.

Full of practical actions that we can start taking right away, Your Stone Age Brain in the Screen Age offers compelling evidence that we can change the way we use technology, resist its addictive power over us, and take back the control we have lost.

In the grand tradition of H. G. Wells and Jules Verne, Stanislaw Lem's The Invincible tells the story of a space cruiser sent to an obscure planet to determine the fate of a sister spaceship whose communication with Earth has abruptly ceased. Landing on the planet Regis III, navigator Rohan and his crew discover a form of life that has apparently evolved from autonomous, self-replicating machines--perhaps the survivors of a robot war. Rohan and his men are forced to confront the classic quandary: what course of action can humanity take once it has reached the limits of its knowledge? In The Invincible, Lem has his characters confront the inexplicable and the bizarre: the problem that lies just beyond analytical reach.

Although the therapeutic benefits of touch have become increasingly clear, American society, claims Tiffany Field, is dangerously touch-deprived. Many schools have no touch policies; the isolating effects of Internet-driven work and life can leave us hungry for tactile experience. In this book Field explains why we may need a daily dose of touch.

The first sensory input in life comes from the sense of touch while a baby is still in the womb, and touch continues to be the primary means of learning about the world throughout infancy and well into childhood. Touch is critical, too, for adults' physical and mental health. Field describes studies showing that touch therapy can benefit everyone, from premature infants to children with asthma to patients with conditions that range from cancer to eating disorders.

This second edition of Touch, revised and updated with the latest research, reports on new studies that show the role of touch in early development, in communication (including the reading of others' emotions), in personal relationships, and even in sports. It describes the physiological and biological effects of touch, including areas of the brain affected by touch, and the effects of massage therapy on prematurity, attentiveness, depression, pain, and immune functions. Touch has been shown to have positive effects on growth, brain waves, breathing, and heart rate, and to decrease stress and anxiety. As Field makes clear, we enforce our society's touch taboo at our peril.

In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.

Sejnowski begins by describing the debates surrounding LLMs' comprehension of language and exploring the notions of thinking and intelligence. He then takes a deep dive into the historical evolution of language models, focusing on the role of transformers, the correlation between computing power and model size, and the intricate mathematics shaping LLMs. Sejnowski also provides insight into the historical roots of LLMs and discusses the potential future of AI, focusing on next-generation LLMs inspired by nature and the importance of developing energy-efficient technologies.

Grounded in Sejnowski's dual expertise in AI and neuroscience, ChatGPT and the Future of AI is the definitive guide to understanding the intersection of AI and human intelligence.

Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life. In the process the authors help explain the underlying technology and give people the agency they need to shape the debate around how we should regulate AI to maximize its benefits and minimize its risks.

Bringing over two decades of experience with cutting-edge research, consulting, executive coaching, and advising to bear on the subject, Bapna and Ghose demystify the technology of AI itself. They offer a novel House of AI framework that encompasses traditional analytics, generative AI, and fair and ethical deployment of AI. Using examples from everyday life, they showcase how the modern AI-powered ecosystem fundamentally improves the emotional, physical, and material well-being of regular people across the globe. Thrive's mission is to educate the public about AI, shape realistic expectations, and foster informed discussions about a fast-emerging AI-shaped society.

Critical thinking is regularly cited as an essential 21st century skill, the key to success in school and work. Given the propensity to believe fake news, draw incorrect conclusions, and make decisions based on emotion rather than reason, it might even be said that critical thinking is vital to the survival of a democratic society.

But what, exactly, is critical thinking? Jonathan Haber explains how the concept of critical thinking emerged, how it has been defined, and how critical thinking skills can be taught and assessed. Haber describes the term's origins in such disciplines as philosophy, psychology, and science. He examines the components of critical thinking, including

- structured thinking
- language skills
- background knowledge
- information literacy
- intellectual humility
- empathy and open-mindedness

Haber argues that the most important critical thinking issue today is that not enough people are doing enough of it. Fortunately, critical thinking can be taught, practiced, and evaluated. This book offers a guide for teachers, students, and aspiring critical thinkers everywhere, including advice for educational leaders and policy makers on how to make the teaching and learning of critical thinking an educational priority and practical reality.

Most people think hunger has to do with food: researchers, policymakers, and advocates focus on promoting government-funded nutrition assistance; well-meaning organizations try to get expired or wasted food to marginalized communities; and philanthropists donate their money to the cause and congratulate themselves for doing so. But few people ask about the structural issues undergirding hunger, such as, Who benefits from keeping people in such a state of precarity? In The Painful Truth about Hunger in America, Mariana Chilton shows that the solution to food insecurity lies far beyond food and must incorporate personal, political, and spiritual approaches if we are serious about fixing the crisis.

Drawing on 25 years of research, programming, and advocacy efforts, Chilton compellingly demonstrates that food insecurity is created and maintained by people in power. Taking the reader back to the original wounds in the United States caused by its history of colonization, genocide, and enslavement, she forces us to reckon with hard questions about why people in the US allow hunger to persist. Drawing on intimate interviews she conducted with many Black and Brown women, the author reveals that the experience of hunger is rooted in trauma and gender-based violence--violence in our relationships with one another, with the natural world, and with ourselves--and that if we want to fix hunger, we must transform our society through compassion, love, and connection. Especially relevant for young people charting new paths toward abolition, mutual aid, and meaningful livelihoods, The Painful Truth about Hunger in America reinvigorates our commitment to uprooting the causes of poverty and discrimination, and points to a more generative and humane world where everyone can be nourished.