In a recent episode of CDT's Tech Talks podcast, hosted by Jamal Magby, the intriguing topic of algorithmic resignation was discussed. The episode is available on various platforms including iTunes, Soundcloud, Spotify, Stitcher, and TuneIn.

The central question explored in the episode was: "What happens when an AI system deployed by a company decides to 'resign'—stopping its recommendations or restricting access to its outputs?" This concept raises important considerations about whether such actions can help mitigate reputational or legal risks for organizations.

Dr. Umang Bhatt, an Assistant Professor and Faculty Fellow at the Center for Data Science at New York University and a CDT Non-Resident Fellow, joined the discussion. He is also the co-author of the paper "When Should Algorithms Resign?: A Proposal for AI Governance," which examines this thought-provoking idea.

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