Roy Austin brings a rare, end-to-end perspective on AI governance—from co-authoring President Obama’s 2014 civil rights and big data report to building Meta’s first civil rights team and now leading Howard Law’s AI initiative.

In this episode of Regulating AI, he unpacks why self-regulation fails, why data quality still defines AI outcomes, and how states are stepping in where federal policy has stalled. We also explore how unchecked wealth concentration and weak oversight threaten democracy in the age of AI. A must-listen conversation on what real accountability in AI governance should look like.