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.

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.

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.

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.

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.

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.

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.

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.

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.

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.