Episode 406 — AI Risks and Compliance – Building a Governance Framework
Artificial intelligence is rapidly transforming business operations—but it is also introducing a new generation of legal, ethical, and compliance risks. In this episode, we explore how AI risk is accelerating across organizations, from data leakage and bias to over-reliance on flawed outputs and hidden third-party exposure. Drawing on real enforcement trends and practical examples, we explain why AI risk is fundamentally a human and governance issue—not just a technology challenge—and why companies must adopt a risk-based approach that distinguishes between high- and low-risk AI use cases. This episode outlines the core elements of an effective AI compliance program, including governance structures, employee training, vendor oversight, and regulatory readiness in an increasingly scrutinized environment.
This episode really underscores a critical shift in how we think about AI risk—moving beyond technical concerns to focus on governance and human accountability. The distinction between high- and low-risk AI use cases is particularly insightful, especially as organizations grapple with regulatory scrutiny. It’s a timely reminder that compliance programs must evolve alongside AI adoption to address real enforcement risks.