Contemporary Debates in the Ethics of Artificial Intelligence

A cutting-edge selection of current issues and explorations of the ethics of artificial intelligence As artificial intelligence continues to influence virtually every facet of modern life, Contemporary Debates in the Ethics of Artificial Intelligence offers a timely and rigorous examination of the field's most pressing questions. Equally useful in the classroom or as a reference for interdisciplinary research, this volume fosters informed and critical engagement with the ethical dimensions of artificial intelligence in today's world. Curated by renowned scholars Sven Nyholm, Atoosa Kasirzadeh, and John Zerilli, Contemporary Debates in the Ethics of Artificial Intelligence brings together a dynamic mix of established leaders and emerging voices from both philosophy and computer science. The result is a uniquely structured collection of debates that not only introduces key concepts-such as agency, moral status, and value alignment-but also challenges readers to engage deeply with controversies around bias, transparency, and the societal risks posed by AI technologies. Providing frameworks for engaging responsibly with current and future AI technologies, Contemporary Debates in the Ethics of Artificial Intelligence:

• Presents a dual-perspective debate format that fosters critical thinking and comparative analysis
• Includes both foundational conceptual discussions and cutting-edge applied ethical issues
• Features original contributions from interdisciplinary experts in philosophy, law, cognitive science, and computer science
• Addresses timely topics such as algorithmic bias, opacity, value alignment, and the moral status of AI
• Explores forward-looking concerns, including the future of AI governance and long-term existential risks

Contemporary Debates in the Ethics of Artificial Intelligence is ideal for undergraduate, advanced undergraduate, and graduate-level courses in philosophy, computer science, public policy, and related disciplines. It is well-suited for courses such as Ethics of Artificial Intelligence, Technology and Society, and Digital Ethics in philosophy, computer science, political science, international relations, and data science programs.

Sommario

Notes on the Contributors ix
Acknowledgments xiii
Introduction xv
Section One Conceptual and Methodological Preliminaries 1
Part 1 The Ethics of Defining Artificial Intelligence 3
1 What Is Artificial Intelligence and Should We Define It in Terms of Agency? 5
Sven Nyholm
2 Artificial Intelligence as a New Form of Agency 17
Luciano Floridi
Part 2 What Is Distinctive About the Ethics of AI? 35
3 What Can AI Ethics Learn from Medical Ethics, Bioethics, and Animal Ethics? 37
Paula Boddington
4 What Is Distinctive About AI Ethics When Compared to Bioethics? 51
Thomas Grote
Section Two Algorithmic Fairness and Explainability 61
Part 1 Algorithmic Fairness 63
5 Can We Make Algorithms Fair? 65
Margaret Mitchell
6 What If Algorithmic Fairness Is a Category Error? 77
Arvind Narayanan
Part 2 The Moral and Epistemological Significance of Explainability 97
7 Are Explanations of AI Decisions Morally Necessary? 99
Emily Sullivan
8 Doing Without Explainable AI 111
David Danks
Section Three Data and Privacy 121
Part 1 What Is Privacy in the Age of Artificial Intelligence and Why Is It Important? 123
9 Nine Philosophical Questions About Privacy 125
Leonhard Menges
Part 2 Big Data and Group Rights 137
10 The Group Right to Privacy in the Age of AI 139
Anuj Puri
11 Group Rights: A Skeptical View 153
John Zerilli
Section Four The Ethics of Handing over Tasks Previously Performed by Humans to AI 161
Part 1 Responsibility, Authorship, and Human Creativity in the Age of AI 163
12 Entangling Ourselves with AI: Affirmative Responsibility and the Cultivation of Responsible Agency 165
Fabio Tollon and Shannon Vallor
13 Generative AI, Language, and Authorship: Deconstructing the Debate and Moving It Forward 183
Mark Coeckelbergh and David Gunkel
14 From "Can AI Be Creative?" to "What Is the Value of Integrating AI into Creative Processes?" 199
Caterina Moruzzi
Part 2 AI and the Future of Work 213
15 What Will Work Be Like in the Future? 215
Daniel Susskind
16 AI and the Future of Work: An Egalitarian Vision 229
Kate Vredenburgh
Section Five Value Alignment, The Control Problem, and AI Risks 245
Part 1 Can We Solve the Value Alignment Problem? 247
17 What Would It Look Like to Align Humans with Ants? 249
Vincent Conitzer
Part 2 Could Value Alignment Guarantee Control over AI? 263
18 Could We Control Superintelligent AI? 265
Roman V. Yampolskiy
19 The Many Faces of AI Alignment 277
Atoosa Kasirzadeh
Part 3 AI Ethics vs. AI Safety: Friends or Foes? 295
20 On the Troubled Relation Between AI Ethics and AI Safety 297
Olle Häggström
21 Short-Term or Long-Term AI Ethics? A Dilemma for Ethical Singularity Only 309
Vincent C. Müller
Section Six Can AI Technologies Be Sentient, and Should We Ever Treat Them with Moral Consideration? 319
Part 1 Can an AI Entity Be a Moral Patient? 321
22 Should We Worry About the Moral Status of Nonsentient AIs? 323
Parisa Moosavi
23 On the Moral Status of AI Entities and Robots: A Critique of the Social-Relational Approach and a Defense of the Properties-Based Approach 337
John-Stewart Gordon
Section Seven Environmental Impacts and the Geopolitics of AI 353
Part 1 Where Should the Goal of Making AI Environmentally Sustainable Rank Among Attempts to Make Other Carbon-Intensive Activities Sustainable? 355
24 Reduce, Reuse, Recycle, Refuse: Green Data Refusal and Sustainable AI 357
Cristina Richie
Part 2 How Is AI Development Viewed by the Global Majority? 369
25 The Making and Management of Computational Agency 371
Ranjit Singh
Section Eight Democracy and AI Governance 387
Part 1 Are AI-Powered Social Media Platforms Compatible with Democracy? 389
26 Deepfakes and Democracy 391
Claire Benn
27 Should Online Platforms Be Publicly Owned and Controlled? 415
Sean Donahue
Part 2 AI Governance 427
28 The Tragedy of AI Governance 429
Simon Chesterman
29 Can AI Be Governed? 439
Gillian K. Hadfield
Index 000

Info autore

Sven Nyholm is Professor of the Ethics of Artificial Intelligence at LMU Munich and one of the Principal Investigators at the Munich Center for Machine Learning. His books include Humans and Robots: Ethics, Agency, and Anthropomorphism and This is Technology Ethics: An Introduction and he serves as the ethics of AI Section Editor for Science and Engineering Ethics. Atoosa Kasirzadeh is a philosopher, AI researcher, and Assistant Professor at Carnegie Mellon University with joint affiliations in Philosophy and Software & Societal Systems. She is a Schmidt Sciences AI2050 Early Career Fellow, a Steering Committee Member for ACM FAccT, and a widely cited advisor on AI governance and responsible innovation. John Zerilli is a philosopher and legal scholar specializing in AI, cognitive science, and digital law. He is Senior Lecturer at King's College London, a Research Associate at the Oxford Institute for Ethics in AI, and he holds a Schmidt Sciences AI2050 Early Career Fellowship. His books include The Adaptable Mind and A Citizen's Guide to Artificial Intelligence.

Dettagli sul prodotto

• Autori: Sven Kasirzadeh Nyholm
• Con la collaborazione di: Atoosa Kasirzadeh (Editore), Sven Nyholm (Editore), Nyholm Sven (Editore), John Zerilli (Editore), Zerilli John (Editore)
• Editore: Wiley, John and Sons Ltd
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.11.2025, ritardato
• EAN: 9781394258819
• ISBN: 978-1-394-25881-9
• Pagine: 512
• Serie: Contemporary Debates in Philosophy
• Categorie: Scienze sociali, diritto, economia > Scienze sociali, tematiche generali; PHILOSOPHY / Ethics & Moral Philosophy, Society & culture: general, Ethics and moral philosophy, Artificial Intelligence (AI), COMPUTERS / Artificial Intelligence / General