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
Ellen Goodman
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.
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 *
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