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. Based in Washington, DC, CAIP works to ensure AI is developed and implemented with effective safety standards.
    Copyright 2024 All rights reserved.
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Political Science
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Episodes
  • #14: Anton Korinek on AI's Economic and Workforce Impacts

    #14: Anton Korinek on AI's Economic and Workforce Impacts
    Dec 27 2024

    Anton Korinek, a professor at the University of Virginia's economics department and business school, joined the podcast to discuss AI productivity gains, augmentation versus automation, the future of white-collar work, global access to AI technology, universal basic income, career planning in the age of AI, workforce adaptation, AI-generated podcasts, 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 and 4 mins
  • #13: Nick Whitaker on AI Policy Principles

    #13: Nick Whitaker on AI Policy Principles
    Nov 25 2024

    Nick Whitaker, a fellow at the Manhattan Institute working on emerging tech and AI policy, joined the podcast to discuss his AI Policy Playbook as well as progress studies, global competition in AI, artificial general intelligence, cyber security, export controls, AI talent recruitment, AI companions, 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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    36 mins
  • #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

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