What happens when an AI system gives a confident but incorrect answer, relies on incomplete data, or becomes unavailable during a critical task? How do we teach future healthcare professionals to respond? This interactive workshop introduces a practical approach to teaching AI failure before it causes harm. Through hypothetical healthcare scenarios, participants will learn to identify warning signs, assess risks, build human oversight into decisions, and develop classroom exercises that strengthen critical thinking and responsible AI use.