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.
Contemporary Debates in the Ethics of Artificial Intelligence