Clinical AI is already reshaping how care is delivered and how risk is managed – but adoption has outpaced accountability. Shadow AI is widespread. Bias and privacy concerns are underexplored. And many organizations deploying AI have yet to establish formal validation, audit, or oversight processes.

This session will give healthcare risk and safety leaders a practical framework for understanding where AI creates value, where it creates risk, and how to build the governance structures that ensure clinical AI is safe, trusted, and aligned with organizational values.