Ethics and Regulation of Artificial Intelligence and Machine Learning in Health Care. 3 credits

Catalog description

Examines the ethical foundations and moral responsibilities involved in the design, deployment, governance, and evaluation of Artificial Intelligence and Machine Learning (AI/ML) in clinical, public health, behavioral, and mental‑health contexts. The course begins with core ethical theories—including deontology, consequentialism, virtue ethics, care ethics, principlism, and theories of justice—and applies them to algorithmic decision‑making, health equity, autonomy, fairness, and harm prevention. Building upon this ethical grounding, students learn how laws and regulations operationalize or imperfectly approximate ethical commitments. Rather than centering policy itself, the course uses regulatory regimes (FDA, FTC, HIPAA, state laws, GDPR, and the EU AI Act and associated regulations) as case studies for understanding how societies attempt to manage ethical risks. Offered by Hlth Admin, Policy/Informatics . May not be repeated for credit.