Effective AI governance combines disciplined risk assessment, cross-functional ownership, and adaptive policy. A practical roadmap.
Boards and audit committees are asking sharper questions about the governance of AI systems deployed by their organizations. In-house counsel are increasingly central to designing the answers. This article outlines a practical roadmap for AI governance grounded in established compliance principles and tailored to the distinctive risks of machine learning systems.