It seems that just about every new technology that we bring to bear on improving our lives brings with it some downside, side effect or unintended consequence. These issues can pose very real and growing ethical problems for all of us. For example, automated facial recognition can make life easier and safer for us - but it also poses huge issues with regard to privacy, ownership of data and even identity theft. How do we understand and frame these debates, and work out strategies at personal and governmental levels? Technology Is Not Neutral: A Short Guide to Technology Ethics addresses one of today's most pressing problems: how to create and use tools and technologies to maximize benefits and minimize harms? Drawing on the author's experience as a technologist, political risk analyst and historian, the book offers a practical and cross-disciplinary approach that will inspire anyone creating, investing in or regulating technology, and it will empower all readers to better hold technology to account.

By the author of THE DESIGN OF EVERYDAY THINGS. Insightful and whimsical, profoundly intelligent and easily accessible, Don Norman has been exploring the design of our world for decades, exploring this complex relationship between humans and machines. In this seminal work, fully revised and updated, Norman gives us the first steps towards demanding a person-centered redesign of the machines we use every day. Humans have always worked with objects to extend our cognitive powers, from counting on our fingers to designing massive supercomputers. But advanced technology does more than merely assist with memory—the machines we create begin to shape how we think and, at times, even what we value. In THINGS THAT MAKE US SMART, Donald Norman explores the complex interaction between human thought and the technology it creates, arguing for the development of machines that fit our minds, rather than minds that must conform to the machine.

The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind "automated" services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

Technology permeates nearly every aspect of our daily lives. Cars enable us to travel long distances, mobile phones help us to communicate, and medical devices make it possible to detect and cure diseases. But these aids to existence are not simply neutral instruments: they give shape to what we do and how we experience the world. And because technology plays such an active role in shaping our daily actions and decisions, it is crucial, Peter-Paul Verbeek argues, that we consider the moral dimension of technology. Moralizing Technology offers exactly that: an in-depth study of the ethical dilemmas and moral issues surrounding the interaction of humans and technology. Drawing from Heidegger and Foucault, as well as from philosophers of technology such as Don Ihde and Bruno Latour, Peter-Paul Verbeek locates morality not just in the human users of technology but in the interaction between us and our machines. Verbeek cites concrete examples, including some from his own life, and compellingly argues for the morality of things. Rich and multifaceted, and sure to be controversial, Moralizing Technology will force us all to consider the virtue of new inventions and to rethink the rightness of the products we use every day.

From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the “New Jim Code,” she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture. Visit the book's free Discussion Guide: www.dropbox.com

This "intense reading experience"* is a Printz Honor Book. Shawn McDaniel's life is not what it may seem to anyone looking at him. He is glued to his wheelchair, unable to voluntarily move a muscle—he can't even move his eyes. For all Shawn's father knows, his son may be suffering. Shawn may want a release. And as long as he is unable to communicate his true feelings to his father, Shawn's life is in danger. To the world, Shawn's senses seem dead. Within these pages, however, we meet a side of him that no one else has seen—a spirit that is rich beyond imagining, breathing life. *Booklist starred review

Advances in narrow artificial intelligence make possible agentive systems that do things directly for their users (like, say, an automatic pet feeder). They deliver on the promise of user-centered design, but present fresh challenges in understanding their unique promises and pitfalls. Designing Agentive Technology provides both a conceptual grounding and practical advice to unlock agentive technology’s massive potential.

An anthology of writings by thinkers ranging from Freeman Dyson to Bruno Latour that focuses on the interconnections of technology, society, and values and how these may affect the future. Technological change does not happen in a vacuum; decisions about which technologies to develop, fund, market, and use engage ideas about values as well as calculations of costs and benefits. This anthology focuses on the interconnections of technology, society, and values. It offers writings by authorities as varied as Freeman Dyson, Laurence Lessig, Bruno Latour, and Judy Wajcman that will introduce readers to recent thinking about technology and provide them with conceptual tools, a theoretical framework, and knowledge to help understand how technology shapes society and how society shapes technology. It offers readers a new perspective on such current issues as globalization, the balance between security and privacy, environmental justice, and poverty in the developing world. The careful ordering of the selections and the editors' introductions give Technology and Society a coherence and flow that is unusual in anthologies. The book is suitable for use in undergraduate courses in STS and other disciplines. The selections begin with predictions of the future that range from forecasts of technological utopia to cautionary tales. These are followed by writings that explore the complexity of sociotechnical systems, presenting a picture of how technology and society work in step, shaping and being shaped by one another. Finally, the book goes back to considerations of the future, discussing twenty-first-century challenges that include nanotechnology, the role of citizens in technological decisions, and the technologies of human enhancement.

How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.