Institute for Ethics in AI Colloquium - Two Mistakes in AI Design?

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Ethics in AI Colloquium - Two Mistakes in AI Design?

This talk explores how two false assumptions about values embedded in machine learning design might, if corrected, help technologists make progress on aligning machine outputs with human values. Can an AI be built that avoids these two mistakes? I sketch a possible design that is a hybrid of both machine learning and symbolic systems.

Speaker: Professor Ruth Chang is the Chair and Professor of Jurisprudence and a Professorial Fellow of University College. Before coming to Oxford, she was Professor of Philosophy at Rutgers University, New Brunswick in New Jersey, USA. Before that she was a visiting philosophy professor at the University of California, Los Angeles, and a visiting law professor at the University of Chicago. During this period she also held a Junior Research Fellowship at Balliol College where she was completing her D.Phil. in philosophy. She has held fellowships at Harvard, Princeton, Stanford, and the National Humanities Center and serves on boards of a number of journals. She has a J.D. from Harvard Law School.

Her expertise concerns philosophical questions relating to the nature of value, value conflict, decision-making, rationality, the exercise of agency, and choice. Her work has been the subject of interviews by various media outlets in the U.S., Canada, the U.K., Germany, Taiwan, Australia, Italy, Israel, Brazil, New Zealand, and Austria.

Host or Publisher Oxford University Institute for Ethics in AI