Ethics of AI Lab


Since 2017, the Ethics of AI Lab at the University of Toronto’s Centre for Ethics has fostered academic and public dialogue about Ethics of AI in Context—the normative dimensions of artificial intelligence and related phenomena in all aspects of private, public, and political life. It is interdisciplinary from the ground up, by pursuing critical analysis from any disciplinary perspective, including STEM, health sciences, social sciences, and—crucially—the humanities, that can shed light on the complex nature of the challenge at hand and on the sustained effort required to address it. The Lab’s Ethics of AI in Context approach to this critical challenge finds expression in the preface to the Oxford Handbook of Ethics of AI (2020; paperback 2021):

    • it locates ethical analysis of artificial intelligence in the context of other modes of normative analysis, including legal, regulatory, philosophical, and policy approaches,
    • it interrogates artificial intelligence within the context of related modes of technological innovation, including machine learning, Big Data, and robotics,
    • it is interdisciplinary from the ground up, broadening the conversation about the ethics of artificial intelligence beyond computer science and related fields to include other fields of scholarly endeavor, including the social sciences, humanities, and the professions (law, medicine, engineering, etc.), and
    • it 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 the general public.

The Ethics of AI Lab also publishes the Handbook’s Online Supplement, which includes the Annotated Bibliography of Ethics of AI, with 900+ sources, organized by chapter topic. The Handbook’s online version can be accessed through Oxford Handbooks Online.