Center for AI Policy Podcast

Center for AI Policy

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.

  1. 6 JUIN

    #17: Peter Wildeford on AI Policy and Forecasting

    Peter Wildeford, Chief Advisory Executive at the Institute for AI Policy and Strategy, joined the podcast to discuss forecasting 101, the U.S. government's forecasting track record, integrating forecasters into government, AI's societal impacts and opportunities, AI's improving software skills, AI-powered forecasting systems, future AI trajectories, 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.

    1 h 6 min

  2. 9 AVR.

    #16: Gabe Alfour on Competing Beliefs About Superintelligence

    Gabe Alfour, Chief Technology Officer at Conjecture, joined the podcast to discuss superintelligence, AI-accelerated science, the limits of technology, different perspectives on the future of AI, loss of control risks, AI racing, international treaties, 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.

    1 h 21 min

  3. 7 FÉVR.

    #15: Bill Drexel on AI, China, and National Security

    Bill Drexel, Fellow at the Center for a New American Security's Technology and National Security Program, joined the podcast to discuss China's surveillance implementation and AI capabilities, open source AI, AI's potential role in enhancing bio weapons, U.S.-China relations on AI, U.S. AI policy actions, global AI competition, 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.

    1 h 3 min

  4. 27/12/2024

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

    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.

    1 h 4 min

  5. 25/11/2024

    #13: Nick Whitaker on AI Policy Principles

    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.

    36 min

  6. 18/10/2024

    #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 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.

    44 min

  7. 10/09/2024

    #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 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.

    46 min

  8. 02/08/2024

    #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, 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.

    1 h
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À propos

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.

Informations

  • Création
    Center for AI Policy
  • Années d’activité
    2024 - 2025
  • Épisodes
    17
  • Classification
    Tous publics
  • Copyright
    © Copyright 2024 All rights reserved.
  • Site web de l’émission
    Center for AI Policy Podcast

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