Assess students’ ability to evaluate ethical, legal, economic, and technical trade‑offs involved in deploying AI-driven diagnostic systems in low-resource healthcare settings. Scope includes algorithmic bias and explainability; data governance, consent, and liability; affordability, financing, and cost‑effectiveness; infrastructure, maintenance, and workforce capacity; and stakeholder impacts. Questions should require comparative case analysis, risk‑benefit reasoning, and justified policy or implementation recommendations.