Responsible AI for Health Equity

Responsible AI for Health Equity equips healthcare, public health, and technology leaders with practical tools to design, deploy, and govern AI that reduces—not reproduces—harm. In a story-driven, policy-informed format, you’ll learn how to connect lived experience to model requirements, evaluate risks for marginalized communities, and build “guardrails” for privacy, parity, transparency, and human oversight. By the end, you can draft an equity-focused AI use case, run a plain-language readiness and bias check, and produce a governance-ready set of policies and documentation that supports responsible adoption, telehealth readiness, and person-centered care.