Healthcare organizations are moving quickly from AI pilots to real-world use, but speed without governance can create clinical, legal, and reputational risk. This session presents a practical framework for deciding where AI belongs, where human judgment must remain decisive, and how to build accountable workflows. Using examples from clinical and legal settings, Mário shows how to map failure points, assign responsibility, document human oversight, test outputs, and translate broad principles into operating controls. Attendees leave with a decision model they can apply to AI adoption, procurement, and day-to-day use.

For clinicians, health-system leaders, health-tech teams, legal and compliance professionals, and policymakers. 45–60 minutes; adaptable as a keynote or interactive workshop. No technical prerequisites.