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MACHINE LEARNING

Rising to the challenge of bias in health care AI

Nature Medicine volume 27, pages 2079–2081 (2021)Cite this article

AI-based models may amplify pre-existing human bias within datasets; addressing this problem will require a fundamental realignment of the culture of software development.

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Authors and Affiliations

  1. Stanford Center for Biomedical Ethics, Stanford University, Stanford, CA, USA

    Mildred K. Cho

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  1. Mildred K. Cho
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Correspondence to Mildred K. Cho.

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Cho, M.K. Rising to the challenge of bias in health care AI. Nat Med 27, 2079–2081 (2021). https://doi.org/10.1038/s41591-021-01577-2

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