Assess learners' ability to evaluate ethical, clinical, and regulatory trade-offs in deploying AI-driven clinical decision support systems (CDSS). Scope includes identifying benefits and harms, bias and equity considerations, clinical validity and safety, human oversight and workflow integration, data governance and privacy, applicable regulatory pathways (e.g., FDA, EU MDR, HIPAA), and post-deployment monitoring. Learners should analyze case scenarios, weigh competing priorities, justify mitigation strategies, and recommend evidence-based governance and compliance actions for diverse stakeholders.