This Handbook provides an international, interdisciplinary, analysis and review of the way that artificial intelligence is introduced, defined, applied, and exploited, and governed in all spheres of individual, commercial, social, and public life.

Part I. Introduction & Overview 1. The Artificial Intelligence of Ethics of AI: An Introductory Overview Joanna Bryson 2. The Ethics of Ethics of AI: Mapping the Field Thomas Powers, Delaware & Jean-Gabriel Ganascia 3. Ethics of AI in Context: Society & Culture Judith Donath Part II. Frameworks & Modes 4. Why Industry Self-regulation Will Not Deliver 'Ethical AI': A Call for Legally Mandated Techniques of 'Human Rights by Design' Karen Yeung, Andrew Howes and Ganna Pogrebna 5. Private Sector AI: Ethics and Incentives Tom Slee 6. Normative Modes: Codes & Standards Paula Boddington 7. Normative Modes: Professional Ethics Urs Gasser Part III. Concepts & Issues 8. Fairness and the Concept of 'Bias' Safiya Umoja Noble 9. Accountability in Computer Systems Joshua Kroll 10. Transparency Nick Diakopoulos 11. Responsibility Virginia Dignum 12. The Concept of Handoff as a Model for Ethical Analysis and Design Helen Nissenbaum & Deirdre Mulligan 13. Race and Gender Timnit Gebru 14. The Future of Work in the Age of AI: Displacement, Augmentation, or Control? Karen Levy & Pegah Moradi 15. The Rights of Artificial Intelligences John Basl and Joseph Bowen 16. The Singularity: Sobering up About Merging with AI Susan Schneider 17. Do Sentient AIs Have Rights? If So, What Kind? Mark Kingwell 18. Autonomy Michael Wheeler 19. Troubleshooting AI and Consent Meg Leta Jones 20. Is Human Judgment Necessary? Norman Spaulding 21. Sexuality John Danaher IV. Perspectives & Approaches 22. Computer Science Benjamin Kuipers 23. Engineering Jason Millar 24. Designing Robots Ethically Without Designing Ethical Robots: A Perspective from Cognitive Science Ron Chrisley 25. Economics Anton Korinek 26. Statistics Martin Wells 27. Automating Origination: Perspectives from the Humanities Avery Slater 28. Philosophy David Gunkel 29. The Complexity of Otherness: Anthropological contributions to robots and AI Kathleen Richardson 30. Calculative Composition: The Ethics of Automating Design Shannon Mattern 31. Global South Chinmayi Arun 32. East Asia Danit Gal 33. Artificial Intelligence and Inequality in the Middle East: The Political Economy of Inclusion Nagla Rizk 34. Europe's struggle to set global AI standards Andrea Renda Part V. Cases & Applications 35. The Ethics of Artificial Intelligence in Transportation Bryant Walker Smith 36. Military Jai Galliott 37. The Ethics of AI in Biomedical Research, Medicine and Public Health Effy Vayena & Alessandro Blasimme 38. Law: Basic Questions Harry Surden 39. Law: Criminal Law Chelsea Barabas 40. Law: Public Law & Policy: Notice, Predictability, and Due Process Kiel Brennan-Marquez 41. Law: Immigration & Refugee Law Petra Molnar 42. Education Elana Zeide 43. Algorithms and the Social Organization of Work Ifeoma Ajunwa 44. Smart City Ethics Goodman

The ethics of AI is a dynamic field, and so anythingwritten on the topic is likely to be out of date by the time it is published. Thanks to the acumen of its editors, however, the Oxford Handbook of Ethics of AI will remain relevant despite these shifting conceptual and methodological sands.

"The ethics of AI is a dynamic field, and so anythingwritten on the topic is likely to be out of date by the time it is published. Thanks to the acumen of its editors, however, the Oxford Handbook of Ethics of AI will remain relevant despite these shifting conceptual and methodological sands." -- Fabio Tollon, Department of Philosophy, Bielefeld University, Germany, Prometheus

Markus Dubber leads an interdisciplinary initiative, "Ethics of AI in Context," as director of the University of Toronto's Centre for Ethics, which facilitates collaboration among a diverse group of university and non-university scholars and researchers from a wide range of backgrounds and perspectives. He also has extensive editorial experience, including as co-editor of several Oxford Handbooks and editor-in-chief of Oxford Handbooks Online (Law). Sunit Das (University of Toronto, Medicine) has conducted research on the role of AI in medicine as a neurosurgeon at Toronto's St. Michael's Hospital, a neuroscientist in the Keenan Research Centre for Biomedical Science, and faculty affiliate of the Ethics of AI Lab at the Centre for Ethics, University of Toronto. Frank Pasquale (School of Law, University of Maryland) has published extensively on the law, policy, and ethics of artificial intelligence and cognate fields (including algorithmic accountability, machine learning, and big data). He has served on the Council on Big Data, Ethics, and Society, the Academic Council of the AINow Institute, and the National Committee on Vital and Health Statistics. His 2015 book The Black Box Society developed a social theory of reputation, search, and finance, while proposing pragmatic reforms to improve the information economy.

Selling point: Locates ethical analysis of artificial intelligence in the context of other modes of normative analysis, including legal, regulatory, philosophical, and policy approaches Selling point: Interrogates artificial intelligence within the context of related fields of technological innovation, including machine learning, blockchain, big data, and robotics Selling point: Broadens the conversation about the ethics of artificial intelligence beyond computer science and related fields to include many other fields of scholarly endeavour, including the social sciences, humanities, and the professions (law, medicine, engineering, etc.) Selling point: Invites critical analysis of all aspects of-and participants in-the wide and continuously expanding artificial intelligence complex, from production to commercialization to consumption, from technical experts to venture capitalists to self-regulating professionals to government officials to journalists to the general public