Read more
This is the first volume to provide an overview of critical perspectives on the ethics of Artificial Intelligence (AI), at a point when growth in AI technologies has exploded but the study of the difficult moral problems presented by AI use is only in its infancy. The book features seventeen essays, organized into four sections, written by leading academics and prominent figures in the field, many representing well-known big tech companies. Some topics covered include self-driving cars and autonomous drones, caretaking robots, and the possible consciousness of superintelligent AI systems.
List of contents
- 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-François 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
About the author
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.
Summary
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.
