From AI Policy to AI Control: Building Governance That Works

AI governance is often treated as a policy problem: define approved uses, create an oversight framework, publish acceptable use rules, and document compliance. These steps matter, especially as increasingly more regulations are introduced that raise expectations for accountability, transparency, data governance, and lifecycle risk management….
By: Robinson+Cole Data Privacy + Security Insider