As artificial intelligence (AI) continues to integrate into the Healthcare sector, the need for robust AI governance and the strategy to implement becomes increasingly critical. This session will explore the evolution from traditional data governance to AI governance, highlighting the new roles, skills, and responsibilities required. We will discuss the challenges of implementing AI governance, including the evaluation of AI models for bias and fairness, and the cultural shifts necessary within organizations. Gain insights into designing effective AI risk review boards and the importance of collaboration between data governance and AI governance teams.