AI倫理の最新の議論<br>Contemporary Debates in the Ethics of Artificial Intelligence (Contemporary Debates in Philosophy)

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AI倫理の最新の議論
Contemporary Debates in the Ethics of Artificial Intelligence (Contemporary Debates in Philosophy)

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Full Description

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.

Contents

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 453

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