AI is rapidly reshaping healthcare, but the technology only delivers when the people using it know how and when — and when not — to rely on it. As adoption scales, AI literacy is becoming the foundation that determines whether these tools sharpen clinical judgment or quietly erode it.

This session examines how organizations are building that literacy at every level, from front-line clinicians to executive leadership, embedding AI education into daily workflows, establishing governance that keeps pace with adoption and helping teams know when to trust AI output and when to question it. Underpinning it all is a shared challenge: grounding AI in trusted, evidence-based information so confidence is earned, not assumed — and human expertise stays at the center of care.