Deep Dive: AI Policy and Risk Governance with Asad Ramzanali, Director of AI and Tech Policy

In the AI Risk Reward podcast, our host, Alec Crawford (@alec06830), Founder and CEO of Artificial Intelligence Risk, Inc. aicrisk.com, interviews guests about balancing the risk and reward of Artificial Intelligence for you, your business, and society as a whole. Podcast production and sound engineering by Troutman Street Audio. You can find them on LinkedIn.In this deep dive episode, Alec welcomes Asad Ramzanali, Director of AI and Tech Policy at the Vanderbilt Policy Accelerator, for a comprehensive discussion on the current landscape of AI policy and risk governance. Asad explains how AI’s broad and general-purpose nature requires sector-specific regulatory strategies, emphasizing that existing frameworks must adapt to both new and exacerbated risks. The conversation covers the challenges of benchmarking and evaluating large models, the balance between federal and state governance, and the ongoing debate over regulation versus innovation. Asad highlights the importance of direct regulatory interventions, robust enforcement mechanisms, and maintaining public trust, particularly as AI adoption accelerates across public and private sectors. The episode closes with reflections on economic disruption, business model risks, and future research priorities in AI policy.Summary:Defining AI Risk: Asad stresses the need for adaptable, use-case-driven frameworks due to AI’s general-purpose scope.Sectoral Regulation: Different regulators must address AI risks where they specifically arise, especially in finance, health, and national security.Benchmarking Challenges: Evaluating AI models requires independent, evolving methodologies, not just self-reported metrics from companies.Regulation vs. Innovation: The current regulatory environment is far from overreaching, and well-crafted policies can actually foster safer innovation.Accountability and Public Trust: Clear liability, enforcement, and transparency are critical for democratic legitimacy and effective AI risk management.Referenced in this episode:Companies/Organizations:Vanderbilt Policy AcceleratorArtificial Intelligence Risk, Inc.Vanderbilt UniversityFDA (U.S. Food and Drug Administration)FCC (Federal Communications Commission)NIST (National Institute of Standards and Technology)OpenAIAnthropicGoogleNOAA (National Oceanic and Atmospheric Administration)Hamilton Project (Brookings Institution)Global AI Ethics InstituteMovies:TerminatorCopyright © 2026 by Artificial Intelligence Risk, Inc.