Evaluate graduate-level understanding of ethical, technical, and policy considerations for deploying AI-driven clinical decision support systems (CDSS) in healthcare. Scope includes algorithmic bias and fairness, data governance and privacy, validation and safety, interpretability, liability and accountability, regulatory frameworks, stakeholder engagement, and risk mitigation; questions require analysis of trade-offs, case-based application, and formulation of deployment recommendations.