Issued2025-12-11

Building a Healthier Future: Designing AI for Health Equity

FrameworkVoluntary

Summary

Comprehensive 75-page blueprint from the NAACP that calls for “equity-first” standards in the design and deployment of AI in healthcare, warning that unchecked algorithms used in diagnosis, treatment, and insurance decisions can deepen racial disparities and outlining recommendations such as bias audits, transparency reporting, data governance councils, and community-based partnerships.

Healthcare Implications

Frames health AI as a civil-rights and health-equity issue, offering practical expectations that hospitals, payers, vendors, and regulators can use to evaluate whether AI tools and data practices center Black communities and other marginalized groups, and encouraging organizations to embed equity impact assessments, community engagement, and bias mitigation into every stage of health AI development and deployment.

Impact Level

Medium

Keywords

Equity & Bias; Transparency & Governance; Safety & Risk

Stakeholders

Patients & Public; Providers & Health Systems; Developers & Vendors; Regulators & Government; Payers & Purchasers