Robert Trager on International AI Governance and Cybersecurity at AI Companies
Robert Trager joins the podcast to discuss AI governance, the incentives of governments and companies, the track record of international regulation, the security dilemma in AI, cybersecurity at AI companies, and skepticism about AI governance.
Robert Trager joins the podcast to discuss AI governance, the incentives of governments and companies, the track record of international regulation, the security dilemma in AI, cybersecurity at AI companies, and skepticism about AI governance. We also discuss Robert's forthcoming paper International Governance of Civilian AI: A Jurisdictional Certification Approach. You can read more about Robert's work at https://www.governance.ai Timestamps: 00:00 The goals of AI governance 08:38 Incentives of governments and companies 18:58 Benefits of regulatory diversity 28:50 The track record of anticipatory regulation 37:55 The security dilemma in AI 46:20 Offense-defense balance in AI 53:27 Failure rates and international agreements 1:00:33 Verification of compliance 1:07:50 Controlling AI supply chains 1:13:47 Cybersecurity at AI companies 1:21:30 The jurisdictional certification approach 1:28:40 Objections to AI governance
Peter Wildeford discusses methods for forecasting AI progress and why he sees AI as neither a bubble nor a normal technology, covering economic effects, national security, cyber capabilities, robotics, export controls, and prediction markets.
Physician-scientist Emilia Javorsky argues that curing cancer is limited more by biology’s complexity, data quality, and incentives than by intelligence, and explores realistic uses of AI in drug development, trials, and reducing medical bureaucracy.
Emilia Javorsky explores how AI can realistically aid cancer research, where current hype exceeds evidence, and what changes researchers, policymakers, and funders must make to turn AI advances into real clinical impact.
