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 Ce...
#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.
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1:03:41
#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.
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36:26
#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.
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43:50
#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.
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46:21
#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.
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.
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