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Tech Talk: Talking Tech with Umang Bhatt on Algorithmic Resignation
Manage episode 461593232 series 2476717
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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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Manage episode 461593232 series 2476717
Content provided by CDT's Tech Talk and Center for Democracy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CDT's Tech Talk and Center for Democracy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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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144 episodes
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Similar to CDT Tech Talks
Show notes are at https://stevelitchfield.com/sshow/chat.html
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continue reading
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continue reading
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continue reading
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