Center for AI Policy Podcast

By: Center for AI Policy
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  • Summary

  • The Center for AI Policy Podcast zooms into the strategic landscape of AI and unpacks its implications for US policy. This podcast is a publication from the Center for AI Policy (CAIP), a nonpartisan research organization dedicated to mitigating the catastrophic risks of AI through policy development and advocacy. Operating out of Washington, DC, CAIP works to ensure AI is developed and implemented with the highest safety standards.
    Copyright 2024 All rights reserved.
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Political Science
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Episodes
  • #12: Michael K. Cohen on Regulating Advanced Artificial Agents

    #12: Michael K. Cohen on Regulating Advanced Artificial Agents
    Oct 18 2024

    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 proposals to address long-term planning agents, academic discourse on AI risks, California's SB 1047 bill, 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.
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    44 mins
  • #11: Ellen P. Goodman on AI Accountability Policy

    #11: Ellen P. Goodman on AI Accountability Policy
    Sep 10 2024

    Ellen P. Goodman, a distinguished professor of law at Rutgers Law School, joined the podcast to discuss the NTIA's AI accountability report, federal AI policy efforts, watermarking and data provenance, AI-generated content, risk-based regulation, 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.
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    46 mins
  • #10: Stephen Casper on Technical and Sociotechnical AI Safety Research

    #10: Stephen Casper on Technical and Sociotechnical AI Safety Research
    Aug 2 2024

    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.
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    1 hr

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