In this episode of Policy Chats, Congressman Jay Obernolte joins host Dori Pham and guest co host Lloyd Levine for an in depth conversation on artificial intelligence policy, innovation, and democratic governance. Drawing on his background as a computer engineer, entrepreneur, former mayor, and state legislator, Congressman Obernolte explains how his technical training shapes his approach to federal policymaking on emerging technologies.

As Chair of the House Subcommittee on Research and Technology, Congressman Obernolte walks listeners through how Congress is thinking about AI beyond headlines and hype. He breaks down key distinctions between generative and non generative AI, deterministic and non deterministic systems, and why focusing on outcomes rather than tools is central to effective regulation. Using real world examples from healthcare, transportation, and consumer protection, he explains how sector specific oversight can better manage risk while still supporting innovation.

The discussion also explores the national and global dimensions of AI policy. Congressman Obernolte compares the United States approach with the European Union model, outlines the task force report he led on a federal AI framework, and explains the proposed hub and spoke system that coordinates sector regulators with shared technical standards. He addresses tensions between federal and state authority, arguing for clear national guardrails that preserve interstate commerce while allowing states to regulate AI use within sectors they already oversee.

From a student perspective, Dori Pham raises questions about AI in education, productivity, and the future of work. The conversation turns to how lawmakers can set guardrails that protect the public from misuse without slowing innovation that could expand opportunity and economic growth for younger generations. The episode closes with reflections on bipartisan cooperation, public trust, and the challenge of misinformation in an AI driven world.

Topics Covered

Congressman Obernolte’s path from AI researcher to entrepreneur to federal policymaker
What artificial intelligence means beyond generative models
Deterministic versus non deterministic AI explained in plain language
Sector specific regulation versus one size fits all approaches
The House AI Task Force report and proposed federal framework
Balancing innovation with accountability and public safety
Federal and state roles in AI policy and interstate commerce
AI and global competition with China and other nations

📍 This episode is produced by the UCR School of Public Policy and reflects our mission of creating solutions that improve lives locally and globally.

🎧 Guest Speaker: Jay Obernolte, Member of Congress for California’s 23rd District and Chair of the House Subcommittee on Research and Technology and Lloyd Levine, National Senior Executive, State Government Strategy at T-Mobile

Interviewed by: Dori Pham, Host of Policy Chats

🎵 Music by Vir Sinha

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