Center for AI Policy Podcast
Center for AI PolicyThe Center for AI Policy Podcast zooms into the strategic landscape of AI and unpacks its implications for US policy.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 12 | Subscribers | Read | aipolicypod.substack.com |
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#12: Michael K. Cohen on Regulating Advanced Artificial Agents
Dr. Michael K. Cohen, a postdoc AI safety researcher at UC Berkeley, joined the podcast to discuss OpenAI’s superalignment research, reinforcement learning and imitation learning, potential dangers of advanced future AI agents, policy propo...
#11: Ellen P. Goodman on AI Accountability Policy
Ellen P. Goodman, a distinguished professor of law at Rutgers Law School, joined the podcast to discuss federal AI policy efforts, the NTIA’s AI accountability report, watermarking and data provenance, AI-generated content, risk-based regul...
#10: Stephen Casper on Technical and Sociotechnical AI Safety Research
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 (RLHF), Goodhart’s law, and more.
#9: Kelsey Piper on the OpenAI Exit Documents Incident
Kelsey Piper, Senior Writer at Vox, joined the podcast to discuss OpenAI’s recent incident involving exit documents, the extent to which OpenAI’s actions were unreasonable, and the broader significance of this story.
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Authors
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The Center for AI Policy is a nonpartisan research organization that develops policy and conducts advocacy to mitigate catastrophic risks from AI. Learn more at https://aipolicy.us/
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