Frank Sauer joins the podcast to discuss autonomy in weapon systems, killer drones, low-tech defenses against drones, the flaws and unpredictability of autonomous weapon systems, and the political possibilities of regulating such systems.
Frank Sauer joins the podcast to discuss autonomy in weapon systems, killer drones, low-tech defenses against drones, the flaws and unpredictability of autonomous weapon systems, and the political possibilities of regulating such systems. You can learn more about Frank's work here: https://metis.unibw.de/en/ Timestamps: 00:00 Autonomy in weapon systems 12:19 Balance of offense and defense 20:05 Killer drone systems 28:53 Is autonomy like nuclear weapons? 37:20 Low-tech defenses against drones 48:29 Autonomy and power balance 1:00:24 Tricking autonomous systems 1:07:53 Unpredictability of autonomous systems 1:13:16 Will we trust autonomous systems too much? 1:27:28 Legal terminology 1:32:12 Political possibilities
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.
