Why AI Governance Frameworks Are Hard to Adopt: A Role-Based Stress Test of the NIST AI RMF
The episode discusses a paper stress-testing the NIST AI Risk Management Framework (RMF) using simulations across different organizational roles and AI deployment types. The hosts conclude that framework adoption fails not because people don't understand it, but because of a 'visibility-authority problem' where local activity cannot translate into authoritative governance decisions.