AI and the Challenge of Foreseeability: Public Lectures in AI and Human Values

About This Event

AI and the Challenge of Foreseeability

A lecture on moral responsibility in the context of Artificial Intelligence: Normative responsibility—whether in morality, rationality, practical reasoning, or other norm-governed activities—customarily depends on some measure of foreseeability. We typically do not hold people responsible (or hold them less responsible) for outcomes that could not (reasonably) have been foreseen. This criterion is problematic when we consider AI design, development, and deployment, as we regularly want our AI systems to surprise us; if we knew exactly what behavior was needed, then we would not bother with AI. This talk, will explore two different manifestations of this tension.

Featured Guests

• David Danks Professor of Data Science, Philosophy & Policy at the University of California, San Diego. He serves on the National AI Advisory Committee and the Computer Science & Telecommunications Board of the National Academies.