Every day, new warnings emerge about artificial intelligence rebelling against us. All the while, a more immediate dilemma flies under the radar. Have forces been unleashed that are thrusting humanity down an ill-advised path, one that's increasingly making us behave like simple machines? In this wide-reaching, interdisciplinary book, Brett Frischmann and Evan Selinger examine what's happening to our lives as society embraces big data, predictive analytics, and smart environments. They explain how the goal of designing programmable worlds goes hand in hand with engineering predictable and programmable people. Detailing new frameworks, provocative case studies, and mind-blowing thought experiments, Frischmann and Selinger reveal hidden connections between fitness trackers, electronic contracts, social media platforms, robotic companions, fake news, autonomous cars, and more. This powerful analysis should be read by anyone interested in understanding exactly how technology threatens the future of our society, and what we can do now to build something better.

Businesses are rushing to collect personal data to fuel surging demand. Data enthusiasts claim personal information that's obtained from the commercial internet, including mobile platforms, social networks, cloud computing, and connected devices, will unlock path-breaking innovation, including advanced data security. By contrast, regulators and activists contend that corporate data practices too often disempower consumers by creating privacy harms and related problems. As the Internet of Things matures and facial recognition, predictive analytics, big data, and wearable tracking grow in power, scale, and scope, a controversial ecosystem will exacerbate the acrimony over commercial data capture and analysis. The only productive way forward is to get a grip on the key problems right now and change the conversation. That's exactly what Jules Polonetsky, Omer Tene, and Evan Selinger do. They bring together diverse views from leading academics, business leaders, and policymakers to discuss the opportunities and challenges of the new data economy.

From the use of expert testimony in the courtroom to the advice we rely on to solve key economic, political, and social problems, expertise is an essential part of our decision-making process. However, the extent to which experts can be trusted is a subject of persistent and contentious debate.

"The Philosophy of Expertise" is the first collection to explore the fundamental philosophical issues surrounding these authorities and their expert knowledge. Part 1 considers the problems surrounding the issue of trust and deference; part 2 launches a phenomenological clarification of expertise that pinpoints the universal structures embodied in cognition and affect; and part 3 examines the consequences of the social and technical externalization of expertise.

Contributors including Edward Said, Alvin Goldman, Peter Singer, Hubert Dreyfus, Julia Annas, Harry Collins, and Don Ihde draw on a number of intellectual approaches to explore the justification of expert authority, the potentially dangerous role of expertise in a liberal democratic society, how laypeople can critique experts, and the social and ideological character of expert advice. The contributors also discuss the reasoning process of judges and juries, the ancient Greek view of moral conduct, and the incorporation of experts into governmental bureaucracy.

By honestly tackling the legitimacy and consistency of various positions, this volume sheds much-needed light on the theoretical dimensions of a controversial and pervasive practice.

Contributors: Alvin I. Goldman, Don Ihde, Edward Said, Evan Selinger and John Mix, Evan Selinger and Robert P. Crease, H. M. Collins and Robert Evans, H?l?ne Mialet, Hubert Dreyfus, John Hardwig, Julia Annas, Paul Feyerabend, Peter Singer, Scott Brewer, Steve Fuller, Steven Turner

Problems related to expertise are amongst the most pressing issues of our time. Although philosophical reflection has much to contribute to the identification and resolution of these problems, the topic of expertise has not received the professional attention that it deserves. Expertise: Philosophical Reflections corrects this imbalance by critically addressing fundamental conceptual and normative issues related to three topics: 1) the phenomenology of expertise, 2) interactional expertise, 3) the ethics and politics of expertise. In so doing, it covers a range of technological issues related to expert authority, judgment, and competence, including: the prospects of artificial intelligence, the ethics of sustainability research and sustainable design, controversy over advocacy for genetically modified foods, and behavior-modifying technologies called "nudges."

Sustainability Ethics: 5 Questions is a collection of short interviews based on 5 questions presented to some of the most influential and prominent scholars in the field. We hear their views on sustainability ethics, the aim, the scope, the future direction of research and how their work fits in these respects. Interviews with Brad Allenby, Richard Bawden, Donald A. Brown, Baird Callicott, Randall Curren, Aidan Davison, Michael E.Gorman, Benjamin Hale, Dale Jamieson, Judith A. Layzer, Steven A. Moore, John Nolt, Bryan Norton, David W. Orr, Donald Scherer, Chris Schlottmann, William Shutkin, Behnam Taebi, Paul B. Thompson, Michael E. Zimmerman.

Philosophy of Technology is a collection of short interviews based on 5 questions presented to some of the most influential and prominent scholars in this field. We hear their views on technology, its aim, scope, use, the future, and how their work fits in these respects.

Businesses are rushing to collect personal data to fuel surging demand. Data enthusiasts claim personal information that's obtained from the commercial internet, including mobile platforms, social networks, cloud computing, and connected devices, will unlock path-breaking innovation, including advanced data security. By contrast, regulators and activists contend that corporate data practices too often disempower consumers by creating privacy harms and related problems. As the Internet of Things matures and facial recognition, predictive analytics, big data, and wearable tracking grow in power, scale, and scope, a controversial ecosystem will exacerbate the acrimony over commercial data capture and analysis. The only productive way forward is to get a grip on the key problems right now and change the conversation. That's exactly what Jules Polonetsky, Omer Tene, and Evan Selinger do. They bring together diverse views from leading academics, business leaders, and policymakers to discuss the opportunities and challenges of the new data economy.

..". an original, quirky, and illuminating collection of material concerning the relatively new and exciting field of technoscience studies.... T]he editors choice of multiple approaches to the work of four major figures is wholly suited to clarifying their unorthodox and consequently somewhat elusive philosophical positions." Robert Scharff

Although often absent from the considerations of philosophers, sociologists, and anthropologists, the material dimension plays an important and even essential role in the practices of the sciences. Chasing Technoscience: Matrix for Materiality begins to redress this absence by bringing together four prominent figures who make technoscience, or science embodied in its technologies, a central theme of their work. Through lively personal interviews and substantive essays, the ideas of Andrew Pickering, Don Ihde, Donna Haraway, and Bruno Latour are brought to bear on the question of materiality in technoscience. The work of these theorists is then compared and critiqued in essays by colleagues. Chasing Technoscience is a ground-breaking, state-of-the-art look at current developments in technoscience."