Pursuing equity with artificial intelligence in health care

Pursuing equity with artificial intelligence in health care
JAMA Health Forum; Kevin B. Johnson, MD, MS; Ivor B. Horn, MD, MPH; Eric Horvitz, MD, PhD; 1/25
The National Academy of Medicine defines equitable AI as “applications accompanied by proof of appropriate steps to ensure fair and unbiased development and access to AI-associated benefits and risk mitigation measures.” Health care–providing organizations deploying AI must take responsibility for monitoring and achieving equitable performance. There is much to learn as we face the challenge of understanding how AI applications affect long-standing inequities and discovering the best ways to harness AI to address them. By embedding equity considerations at every stage of AI development and deployment, the US can start to take meaningful steps toward using AI’s growing capabilities to tackle pressing problems in health care.