In today’s episode, we tackle a fascinating question: What happens when an AI system deployed by a company decides to "resign"—stopping its recommendations or restricting access to its outputs? Can such actions help mitigate reputational or legal risks for organizations? To help us explore this, we’re joined by Dr. Umang Bhatt, Assistant Professor and Faculty Fellow at the Center for Data Science at New York University, CDT Non-Resident Fellow, and co-author of the paper When Should Algorithms Resign?: A Proposal for AI Governance, which delves into this thought-provoking concept.

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