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November 22, 2019

Addressing Bias in Artificial Intelligence in Health Care

Author Affiliations
  • 1Perelman School of Medicine, University of Pennsylvania, Philadelphia
  • 2Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
JAMA. 2019;322(24):2377-2378. doi:10.1001/jama.2019.18058

Recent scrutiny of artificial intelligence (AI)–based facial recognition software has renewed concerns about the unintended effects of AI on social bias and inequity. Academic and government officials have raised concerns over racial and gender bias in several AI-based technologies, including internet search engines and algorithms to predict risk of criminal behavior. Companies like IBM and Microsoft have made public commitments to “de-bias” their technologies, whereas Amazon mounted a public campaign criticizing such research. As AI applications gain traction in medicine, clinicians and health system leaders have raised similar concerns over automating and propagating existing biases.1

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