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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
* 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
* 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
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