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#10: Stephen Casper on Technical and Sociotechnical AI Safety Research
Manage episode 432115528 series 3557438
Content provided by Center for AI Policy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Center for AI Policy 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://podcastplayer.com/legal.
Stephen Casper, a computer science PhD student at MIT, joined the podcast to discuss AI interpretability, red-teaming and robustness, evaluations and audits, reinforcement learning from human feedback, Goodhart’s law, and more.
Our music is by Micah Rubin (Producer) and John Lisi (Composer).
For a transcript and relevant links, visit the Center for AI Policy Podcast Substack.
17 episodes
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Manage episode 432115528 series 3557438
Content provided by Center for AI Policy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Center for AI Policy 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://podcastplayer.com/legal.
Stephen Casper, a computer science PhD student at MIT, joined the podcast to discuss AI interpretability, red-teaming and robustness, evaluations and audits, reinforcement learning from human feedback, Goodhart’s law, and more.
Our music is by Micah Rubin (Producer) and John Lisi (Composer).
For a transcript and relevant links, visit the Center for AI Policy Podcast Substack.
17 episodes
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