Ethics of Artificial Intelligence
Published on 6. October 2020
Book
Hardback
542 pages
978-0-19-090503-3 (ISBN)
Description
As Artificial Intelligence (AI) technologies rapidly progress, questions about the ethics of AI, in both the near-future and the long-term, become more pressing than ever. This volume features seventeen original essays by prominent AI scientists and philosophers and represents the state-of-the-art thinking in this fast-growing field.
Organized into four sections, this volume explores the issues surrounding how to build ethics into machines; ethical issues in specific technologies, including self-driving cars, autonomous weapon systems, surveillance algorithms, and sex robots; the long term risks of superintelligence; and whether AI systems can be conscious or have rights.
Though the use and practical applications of AI are growing exponentially, discussion of its ethical implications is still in its infancy. This volume provides an invaluable resource for thinking through the ethical issues surrounding AI today and for shaping the study and development of AI in the coming years.
Organized into four sections, this volume explores the issues surrounding how to build ethics into machines; ethical issues in specific technologies, including self-driving cars, autonomous weapon systems, surveillance algorithms, and sex robots; the long term risks of superintelligence; and whether AI systems can be conscious or have rights.
Though the use and practical applications of AI are growing exponentially, discussion of its ethical implications is still in its infancy. This volume provides an invaluable resource for thinking through the ethical issues surrounding AI today and for shaping the study and development of AI in the coming years.
Reviews / Votes
This is a superior work, particularly considering that it is an edited volume. All the articles are first-rate, and the four-part arrangement advances the argument organically...Highly recommended. Lower- and upper-division undergraduates. Graduate students, faculty, and professionals. Students in two-year technical programs. General readers. * J. A. Stever, CHOICE * This landmark collection offers a first-rate introduction to the ethical challenges of artificial intelligence. Wide-ranging, accessible, and authoritative, it will be an essential guide to some of the most important issues of our time. * Huw Price, University of Cambridge* In a world that too often asks 'Can we?' without asking 'Should we?', this exciting collection confronts us with some of the best new thinking on the ethics of AI. From the moral status of machine learning systems to algorithmic bias, it is bound to shape future discussions of this most important topic. * Michael Patrick Lynch, University of Connecticut
* This volume is ideal for anyone who wants a comprehensive introduction to the ethical issues surrounding the design and use of AI technologies. Dr. S. Matthew Liao provides an outstanding collaborative exchange between AI researchers and philosophers. I have no doubt that it will become required reading in courses on AI and ethics. * Tina Eliassi-Rad, Northeastern University *
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 33 mm
Weight
969 gr
ISBN-13
978-0-19-090503-3 (9780190905033)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
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S. Matthew Liao
Ethics of Artificial Intelligence
Book
10/2020
Oxford University Press Inc
€66.90
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S. Matthew Liao
Ethics of Artificial Intelligence
E-Book
08/2020
1st Edition
OUP eBook
€22.99
Available for download
S. Matthew Liao
Ethics of Artificial Intelligence
E-Book
08/2020
1st Edition
OUP eBook
€29.49
Available for download
Person
S. Matthew Liao is Arthur Zitrin Chair of Bioethics, Director of the Center for Bioethics, Professor of Global Public Health, and Affiliated Professor in the Department of Philosophy at New York University. He is the author of The Right to Be Loved (Oxford University Press 2015) and editor of Moral Brains: The Neuroscience of Morality (Oxford University Press 2016); and the co-editor of The Philosophical Foundations of Human Rights (Oxford University Press 2015) and Current Controversies in Bioethics (Routledge). He is the Editor-in-Chief for the Journal of Moral Philosophy, a peer-reviewed international journal of moral, political and legal philosophy.
Editor
Arthur Zitrin Chair of Bioethics, Director of the Center for Bioethics, Professor of Global Public Health, and Affiliated Professor in the Department of PhilosophyArthur Zitrin Chair of Bioethics, Director of the Center for Bioethics, Professor of Global Public Health, and Affiliated Professor in the Department of Philosophy, New York University
Content
Acknowledgments
List of Contributors
A Short Introduction to the Ethics of Artificial Intelligence, S. Matthew Liao
Part I: Building Ethics Into Machines
1. Machine Morality: Building or Learning, Peter Railton
2. The Use and Abuse of the Trolley Problem: Self Driving Cars, Innocent Threats, and the Distribution of Harm, F.M. Kamm
3. The Moral Psychology of AI and the Ethical Opt-Out Problem, Jean-Francois Bonnefon, Azim Shariff, and Iyad Rahwan
4. Modeling and Reasoning with Preferences and Ethical Priorities in AI Systems, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, and K. Brent Venable
5. Computational Law, Symbolic Discourse, and the AI Constitution, Stephen Wolfram
Part II: The Near Future of Artificial Intelligence
6. Planning for Mass Unemployment: Precautionary Basic Income, Aaron James
7. Autonomous Weapons and the Ethics of Artificial Intelligence, Peter Asaro
8. Near Term Artificial Intelligence and the Ethical Matrix, Cathy O'Neil and Hanna Gunn
9. The Ethics of Artificial Sexuality, Kate Devlin
Part III: Long-Term Impact of Superintelligence
10. Public Policy and Superintelligent AI: A Vector Field Approach, Nick Bostrom, Allan Dafoe, and Carrick Flynn
11. Artificial Intelligence: A Binary Approach, Stuart Russell
12. Alignment for Advanced Machine Learning Systems, Jessica Taylor, Eliezer Yudkowsky, Patrick LaVictoire, and Andrew Critch
13. Moral Machines: From Value Alignment to Embodied Virtue, Wendell Wallach and Shannon Vallor
14. Machine Learning Values, Steve Petersen
Part IV: Artificial Intelligence, Consciousness, and Moral Status
15. How to Catch an AI Zombie: Testing for Consciousness in Machines, Susan Schneider
16. Designing AI with Rights, Consciousness, Self-Respect, and Freedom, Eric Schwitzgebel, with Mara Garza
17. The Moral Status and Rights of Artificial Intelligence, S. Matthew Liao
Index
List of Contributors
A Short Introduction to the Ethics of Artificial Intelligence, S. Matthew Liao
Part I: Building Ethics Into Machines
1. Machine Morality: Building or Learning, Peter Railton
2. The Use and Abuse of the Trolley Problem: Self Driving Cars, Innocent Threats, and the Distribution of Harm, F.M. Kamm
3. The Moral Psychology of AI and the Ethical Opt-Out Problem, Jean-Francois Bonnefon, Azim Shariff, and Iyad Rahwan
4. Modeling and Reasoning with Preferences and Ethical Priorities in AI Systems, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, and K. Brent Venable
5. Computational Law, Symbolic Discourse, and the AI Constitution, Stephen Wolfram
Part II: The Near Future of Artificial Intelligence
6. Planning for Mass Unemployment: Precautionary Basic Income, Aaron James
7. Autonomous Weapons and the Ethics of Artificial Intelligence, Peter Asaro
8. Near Term Artificial Intelligence and the Ethical Matrix, Cathy O'Neil and Hanna Gunn
9. The Ethics of Artificial Sexuality, Kate Devlin
Part III: Long-Term Impact of Superintelligence
10. Public Policy and Superintelligent AI: A Vector Field Approach, Nick Bostrom, Allan Dafoe, and Carrick Flynn
11. Artificial Intelligence: A Binary Approach, Stuart Russell
12. Alignment for Advanced Machine Learning Systems, Jessica Taylor, Eliezer Yudkowsky, Patrick LaVictoire, and Andrew Critch
13. Moral Machines: From Value Alignment to Embodied Virtue, Wendell Wallach and Shannon Vallor
14. Machine Learning Values, Steve Petersen
Part IV: Artificial Intelligence, Consciousness, and Moral Status
15. How to Catch an AI Zombie: Testing for Consciousness in Machines, Susan Schneider
16. Designing AI with Rights, Consciousness, Self-Respect, and Freedom, Eric Schwitzgebel, with Mara Garza
17. The Moral Status and Rights of Artificial Intelligence, S. Matthew Liao
Index