A renowned philosopher argues that singular causation in the mind is not grounded in general patterns of causation, a claim on behalf of human distinctiveness, which has implications for the future of social robots.

A blab droid is a robot with a body shaped like a pizza box, a pair of treads, and a smiley face. Guided by an onboard video camera, it roams hotel lobbies and conference centers, asking questions in the voice of a seven-year-old. “Can you help me?” “What is the worst thing you’ve ever done?” “Who in the world do you love most?” People pour their hearts out in response.

This droid prompts the question of what we can hope from social robots. Might they provide humanlike friendship? Philosopher John Campbell doesn’t think so. He argues that, while a social robot can remember the details of a person’s history better than some spouses can, it cannot empathize with the human mind, because it lacks the faculty for thinking in terms of singular causation.

Causation in Psychology makes the case that singular causation is essential and unique to the human species. From the point of view of practical action, knowledge of what generally causes what is often all one needs. But humans are capable of more. We have a capacity to imagine singular causation. Unlike robots and nonhuman animals, we don’t have to rely on axioms about pain to know how ongoing suffering is affecting someone’s ability to make decisions, for example, and this knowledge is not a derivative of general rules. The capacity to imagine singular causation, Campbell contends, is a core element of human freedom and of the ability to empathize with human thoughts and feelings.

Working mostly alone, almost single-handedly writing 250,000 lines of computer code, Steve Grand produced Creatures®, a revolutionary computer game that allowed players to create living beings complete with brains, genes, and hormonal systems—creatures that would live and breathe and breed in real time on an ordinary desktop computer. Enormously successful, the game inevitably raises the question: What is artificial life? And in this book—a chance for the devoted fan and the simply curious onlooker to see the world from the perspective of an original philosopher-engineer and intellectual maverick—Steve Grand proposes an answer.

From the composition of the brains and bodies of artificial life forms to the philosophical guidelines and computational frameworks that define them, Creation plumbs the practical, social, and ethical aspects and implications of the state of the art. But more than that, the book gives readers access to the insights Grand acquired in writing Creatures—insights that yield a view of the world that is surprisingly antireductionist, antimaterialist, and (to a degree) antimechanistic, a view that sees matter, life, mind, and society as simply different levels of the same thing. Such a hierarchy, Grand suggests, can be mirrored by an equivalent one that exists inside a parallel universe called cyberspace.

“A brilliant travel guide to the coming world of AI.”
—Jeanette Winterson

What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative?

Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code.

“As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?…In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.”
—Financial Times

“Fascinating…If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.”
—The Times

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system.

In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI.

The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

An in-depth assessment of innovations in military information technology informs hypothetical outcomes for artificial intelligence adaptations

In the coming decades, artificial intelligence (AI) could revolutionize the way humans wage war. The military organizations that best innovate and adapt to this AI revolution will likely gain significant advantages over their rivals. To this end, great powers such as the United States, China, and Russia are already investing in novel sensing, reasoning, and learning technologies that will alter how militaries plan and fight. The resulting transformation could fundamentally change the character of war.

In Information in War, Benjamin Jensen, Christopher Whyte, and Scott Cuomo provide a deeper understanding of the AI revolution by exploring the relationship between information, organizational dynamics, and military power. The authors analyze how militaries adjust to new information communication technology historically to identify opportunities, risks, and obstacles that will almost certainly confront modern defense organizations as they pursue AI pathways to the future. Information in War builds on these historical cases to frame four alternative future scenarios exploring what the AI revolution could look like in the US military by 2040.

Futurists predict that in the next ten years the profession of “lawyer” will splinter into job titles like “legal process analyst” or “legal knowledge engineer.” And some in the field are already taking a proactive approach ⁠— in fact, more than two dozen law schools have developed innovation centers to explore artificial intelligence (AI) and the law. In a competitive marketplace, both firms and individuals need to familiarize themselves with the dazzling array of new products and enhanced features capable of improving efficiency. Written by leading practitioners and visionaries like Robert Ambrogi, this groundbreaking survey of current practices and future trends offers an incisive examination of the evolving roles for law librarians. Readers will learn how AI technology is changing law school curricula, lawyer practice, marketing, and other key aspects of the field through coverage of such topics as

• the benefits of AI to law librarianship, including areas like legal research, contract review, compliance, and administration, and their associated risks;
• four professional ethics rules that apply to the use or (non-use) of AI;
• how lawyers and staff work side by side with AI, utilizing intelligence like RAVN ACE or FastCase to attack the drudgery of due diligence and document review;
• surprising machine-learning insights from tokenizing, stemming, and lemmatizing the text of Shakespeare’s plays;
• the potential for chatbots and new natural language processing products to improve access to justice; and
• ways to develop sought-after skills through new technology departments, practice management groups, and legal innovation labs.

Reading this collection will give you a firm grasp of the innovations, tools, benefits, and risks of AI in law librarianship.

Living with Robots recounts a foundational shift in the field of robotics, from artificial intelligence to artificial empathy, and foreshadows an inflection point in human evolution. Today’s robots engage with human beings in socially meaningful ways, as therapists, trainers, mediators, caregivers, and companions. Social robotics is grounded in artificial intelligence, but the field’s most probing questions explore the nature of the very real human emotions that social robots are designed to emulate.

Social roboticists conduct their inquiries out of necessity—every robot they design incorporates and tests a number of hypotheses about human relationships. Paul Dumouchel and Luisa Damiano show that as roboticists become adept at programming artificial empathy into their creations, they are abandoning the conventional conception of human emotions as discrete, private, internal experiences. Rather, they are reconceiving emotions as a continuum between two actors who coordinate their affective behavior in real time. Rethinking the role of sociability in emotion has also led the field of social robotics to interrogate a number of human ethical assumptions, and to formulate a crucial political insight: there are simply no universal human characteristics for social robots to emulate. What we have instead is a plurality of actors, human and nonhuman, in noninterchangeable relationships.

As Living with Robots shows, for social robots to be effective, they must be attentive to human uniqueness and exercise a degree of social autonomy. More than mere automatons, they must become social actors, capable of modifying the rules that govern their interplay with humans.

Imagine attending a lecture at the turn of the twentieth century in which Orville Wright speculates about the future of transportation, or one in which Alexander Graham Bell envisages satellite communications and global data banks. Mind Children, written by an internationally renowned roboticist, offers a comparable experience—a mind-boggling glimpse of a world we may soon share with our artificial progeny. Filled with fresh ideas and insights, this book is one of the most engaging and controversial visions of the future ever written by a serious scholar.

Hans Moravec convincingly argues that we are approaching a watershed in the history of life—a time when the boundaries between biological and postbiological intelligence will begin to dissolve. Within forty years, Moravec believes, we will achieve human equivalence in our machines, not only in their capacity to reason but also in their ability to perceive, interact with, and change their complex environment. The critical factor is mobility. A computer rooted to one place is doomed to static iterations, whereas a machine on the prowl, like a mobile organism, must evolve a richer fund of knowledge about an ever-changing world upon which to base its actions.

In order to achieve anything near human equivalence, robots will need, at the least, the capacity to perform ten trillion calculations per second. Given the trillion-fold increase in computational power since the end of the nineteenth century, and the promise of exotic technologies far surpassing the now-familiar lasers and even superconductors, Moravec concludes that our hardware will have no trouble meeting this forty-year timetable.

But human equivalence is just the beginning, not an upper bound. Once the tireless thinking capacity of robots is directed to the problem of their own improvement and reproduction, even the sky will not limit their voracious exploration of the universe. In the concluding chapters Moravec challenges us to imagine with him the possibilities and pitfalls of such a scenario. Rather than warning us of takeover by robots, the author invites us, as we approach the end of this millennium, to speculate about a plausible, wonderful postbiological future and the ways in which our minds might participate in its unfolding.

“Exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it.”
—John Horgan

“If you want to know about AI, read this book…It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence.”
—Peter Thiel

Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. A computer scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to reveal why this is a profound mistake.

AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don’t correlate data sets. We make conjectures, informed by context and experience. And we haven’t a clue how to program that kind of intuitive reasoning, which lies at the heart of common sense. Futurists insist AI will soon eclipse the capacities of the most gifted mind, but Larson shows how far we are from superintelligence—and what it would take to get there.

“Larson worries that we’re making two mistakes at once, defining human intelligence down while overestimating what AI is likely to achieve…Another concern is learned passivity: our tendency to assume that AI will solve problems and our failure, as a result, to cultivate human ingenuity.”
—David A. Shaywitz, Wall Street Journal

“A convincing case that artificial general intelligence—machine-based intelligence that matches our own—is beyond the capacity of algorithmic machine learning because there is a mismatch between how humans and machines know what they know.”
—Sue Halpern, New York Review of Books

“Essential reading for all who have a vested interest in the rise of AI.” —Daryl Li, AI & Society

“Thought-provoking…Explores how we can best try to ensure that robots work for us, rather than against us, and proposes a new set of laws to provide a conceptual framework for our thinking on the subject.” —Financial Times

“Pasquale calls for a society-wide reengineering of policy, politics, economics, and labor relations to set technology on a more regulated and egalitarian path…Makes a good case for injecting more bureaucracy into our techno-dreams, if we really want to make the world a better place.” —Wired

“Pasquale is one of the leading voices on the uneven and often unfair consequences of AI in our society...Every policymaker should read this book and seek his counsel.” —Safiya Noble, author of Algorithms of Oppression

Too many CEOs tell a simple story about the future of work: if a machine can do what you do, your job will be automated, and you will be replaced. They envision everyone from doctors to soldiers rendered superfluous by ever-more-powerful AI.

Another story is possible. In virtually every walk of life, robotic systems can make labor more valuable, not less. Frank Pasquale tells the story of nurses, teachers, designers, and others who partner with technologists, rather than meekly serving as data sources for their computerized replacements. This cooperation reveals the kind of technological advance that could bring us all better health care, education, and more, while maintaining meaningful work. These partnerships also show how law and regulation can promote prosperity for all, rather than a zero-sum race of humans against machines.

Policymakers must not allow corporations or engineers alone to answer questions about how far AI should be entrusted to assume tasks once performed by humans, or about the optimal mix of robotic and human interaction. The kind of automation we get—and who it benefits—will depend on myriad small decisions about how to develop AI. Pasquale proposes ways to democratize that decision-making, rather than centralize it in unaccountable firms. Sober yet optimistic, New Laws of Robotics offers an inspiring vision of technological progress, in which human capacities and expertise are the irreplaceable center of an inclusive economy.

Decisions about war have always been made by humans, but now intelligent machines are on the cusp of changing things – with dramatic consequences for international affairs. This book explores the evolutionary origins of human strategy, and makes a provocative argument that Artificial Intelligence will radically transform the nature of war by changing the psychological basis of decision-making about violence.

Strategy, Evolution, and War is a cautionary preview of how Artificial Intelligence (AI) will revolutionize strategy more than any development in the last three thousand years of military history. Kenneth Payne describes strategy as an evolved package of conscious and unconscious behaviors with roots in our primate ancestry. Our minds were shaped by the need to think about warfare—a constant threat for early humans. As a result, we developed a sophisticated and strategic intelligence.

The implications of AI are profound because they depart radically from the biological basis of human intelligence. Rather than being just another tool of war, AI will dramatically speed up decision making and use very different cognitive processes, including when deciding to launch an attack, or escalate violence. AI will change the essence of strategy, the organization of armed forces, and the international order.

This book is a fascinating examination of the psychology of strategy-making from prehistoric times, through the ancient world, and into the modern age.