AI Morality

David Edmonds is a Distinguished Research Fellow at the Uehiro Centre for Practical Ethics at Oxford University and a former BBC radio journalist. He is the author or editor of many critically acclaimed philosophy books (and one on chess) which together have been translated into over two dozen languages. These include the (with John Eidinow) the international best seller Wittgenstein's Poker and, most recently, a biography, Parfit: A Philosopher and his Mission to Save Morality. David also hosts a couple of philosophy podcasts. Philosophy Bites, which he makes with Nigel Warburton has had over 45 million downloads.

• List of Contributors Introduction David Edmonds PART I. DEFENCE, HEALTH, LAW 1: Autonomous Weapons System and Human Rights Linda Eggert 2: Cyber-Risks and Medical Ethics Maximilian Kiener 3: Risky Business: AI and the Future of Insurance Jonathan Pugh 4: AI and Discriminatory Intent Binesh Hass PART II. POLITICS AND GOVERNANCE 5: The Perfect Politician Theodore M. Lechterman 6: Collective Intelligence over Artificial Intelligence Saffron Huang and Divya Siddarth PART III. WORK AND PLAY 7: Work and Meaning: A Challenge for Economics Daniel Susskind 8: Losing Skills Carissa Véliz 9: Benevolent Algorithmic Managers Charlotte Unruh 10: What's Your Price? Three Cheers for Data Markets Aksel Sterri n 11 Work and Play in the Shadow of AI John Tasioulas PART IV. MANIPULATION, AUTONOMY,AND ALGORITHMS 12: The Silent Meddling of Algorithms Carina Prunkl 13: Recommended! Silvia Milano 14: Do AI Systems Allow Online Advertisers to Control Others? Gabriel De Marco and Tom Douglas 15: Should You Let AI Tell You Who You Are and What You Should Do? Muriel Leuenberger 16: Information Flows in the Digital Age Emma Bluemke and Andrew Trask PART V. IDENTITY AND VALUES 17: Robotic Persons and Asimov's Three Laws of Robotics César Palacios-González 18: Is AI Ethics All Fluff? John Zerilli 19: Artificial General Intelligence: Shocks, Sentience,and Moral Status Peter Millican 20: Human in the Loop! Ruth Chang Index 235

A very good ... read. It shows that creating an intelligent machine as competent as - or more competent than - humans subverts almost every assumption we currently make about ourselves and the future.