About the author
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.
Summary
This interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.
Report
The ethics of AI is a dynamic field, and so anythingwritten on the topic is likely to be out of date by the time it is published.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
