Center for AI Policy Podcast

Center for AI Policy
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Center for AI Policy Podcast

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.

에피소드

  1. 10월 18일

    #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.

    44분

  2. 9월 10일

    #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.

    46분

  3. 8월 2일

    #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.

    1시간

  4. 7월 5일

    #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. 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.

    53분

  5. 6월 14일

    #8: Tamay Besiroglu on the Trends Driving Past and Future AI Progress

    Tamay Besiroglu, Associate Director of Epoch AI, joined the podcast to provide a comprehensive overview of the factors shaping AI progress, from algorithmic advances and hardware scaling to data availability and economic incentives, and to analyze the potential trajectories of AI development over the coming years. Our music is by Micah Rubin (Producer) and John Lisi (Composer). For a transcript, highlights, and relevant links, visit the Center for AI Policy Podcast Substack.

    1시간 43분

  6. 5월 30일

    #7: Katja Grace on the Future of AI and Insights From AI Researchers

    Katja Grace, Lead Researcher and Co-Founder of AI Impacts, joined the podcast to discuss where AI is heading and what AI researchers think about it, including analysis of likely the largest-ever survey of AI researchers. Our music is by Micah Rubin (Producer) and John Lisi (Composer). For a transcript, highlights, and relevant links, visit the Center for AI Policy Podcast Substack.

    49분

  7. 4월 29일

    #6: Jason Green-Lowe on Legal Liability for AI Harms

    Jason Green-Lowe, Executive Director of the Center for AI Policy, joins the podcast to discuss who is held legally accountable when AI causes harm, how they're held accountable, and potential policies to improve or clarify liability law regarding AI. Our music is by Micah Rubin (Producer) and John Lisi (Composer).

    44분

  8. 4월 9일

    #5: Jeffrey Ladish on Cybersecurity, Cyberoffense, and AI

    Jeffrey Ladish, Executive Director of Palisade Research, joins the podcast to discuss threats of AI-powered cyberattacks, security of model weights, and what lies ahead. Our music is by Micah Rubin (Producer) and John Lisi (Composer).

    45분

  9. 3월 27일

    #4: Sam Hammond on Modernizing Government for the AI Era

    Sam Hammond, Senior Economist at the Foundation for American Innovation, joins the podcast to discuss how AI creates a need for government modernization, and what that modernization should look like. Our music is by Micah Rubin (Producer) and John Lisi (Composer).

    44분

  10. 3월 27일

    #3: Daniel Colson on the American Public's Perception of AI

    Daniel Colson, Co-Founder and CEO of the AI Policy Institute, joins the podcast to discuss US public opinion on AI, based on polling data from the AI Policy Institute. Our music is by Micah Rubin (Producer) and John Lisi (Composer).

    33분

  11. 3월 18일

    #2: Mark Beall on AI and US National Security

    NOTE: Since recording this podcast, Mark Beall has left his role at Gladstone to focus fully on AI safety and security policy advocacy. You can reach him at mark@bealldigital.com for more information. Mark Beall, co-founder and CEO of Gladstone AI, joins the podcast to discuss the state of AI, its implications for US national security, and next steps for policymakers. Our music is by Micah Rubin (Producer) and John Lisi (Composer).

    33분

  12. 3월 16일

    #1: Thomas Larsen on AI Measurement and Evaluation

    Thomas Larsen, Director of Strategy at the Center for AI Policy, joins the podcast to discuss capability evaluations, safety evaluations, preparedness frameworks, and why they're important. Our music is by Micah Rubin (Producer) and John Lisi (Composer).

    37분
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소개

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.

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    Center for AI Policy
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    2024년
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