AI Governance Integration into Risk Management Frameworks

This document is a guide that outlines the importance of integrating AI governance into existing enterprise risk management (ERM) frameworks. It describes various risks associated with AI, including hallucinations, bias, data privacy concerns, and model drift. The guide emphasizes that organizations should not create separate governance frameworks for AI but rather embed AI oversight into their current governance, risk, and compliance (GRC) programs. It details five strategies for effective AI governance: expanding risk and compliance programs to include AI challenges, embedding governance across the AI lifecycle, shifting to continuous oversight, defining accountability across all lines of defense, and demonstrating control over AI systems. The document also references important global AI regulations, such as the EU Artificial Intelligence Act and NIST guidelines, which help organizations manage AI risks responsibly. By following these practices, organizations can ensure that AI is used ethically and transparently while minimizing potential risks.