Navigating AI Policy: Balancing Innovation and Regulation with Adam Thierer

Episode notes

In this episode of AI, Government, and the Future, host Max Romanik engages in an insightful conversation with Adam Thierer, Senior Fellow at the R Street Institute and a veteran in technology policy with over three decades of experience. The discussion delves into the complex world of AI policy, drawing parallels between the early days of internet regulation and current challenges in AI governance. Thierer emphasizes the importance of flexible, iterative approaches to regulation, cautioning against overregulation that could stifle innovation and competitiveness. He explores the concept of "soft law" as a potential solution to the pacing problem between rapid technological advancement and slower policy development. Throughout the episode, Thierer shares valuable insights on the potential pitfalls of broad, top-down regulatory approaches, the need for targeted, sector-specific regulations, and the geopolitical implications of AI policy decisions. He also discusses the challenges of international cooperation in AI governance and the importance of maintaining U.S. leadership in AI development while addressing safety and ethical concerns.