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Those designing healthcare algorithms must become actively anti-racist

Nature Medicine volume 26, pages 1327–1328 (2020)Cite this article

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Many widely used health algorithms have been shown to encode and reinforce racial health inequities, prioritizing the needs of white patients over those of patients of color. Because automated systems are becoming so crucial to access to health, researchers in the field of artificial intelligence must become actively anti-racist. Here we list some concrete steps to enable anti-racist practices in medical research and practice.

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Authors and Affiliations

  1. Data & Society Research Institute, New York, NY, USA

    Kellie Owens

  2. Berman Institute of Bioethics, Johns Hopkins University, Baltimore, MD, USA

    Alexis Walker

Authors
  1. Kellie Owens
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  2. Alexis Walker
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Correspondence to Alexis Walker.

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The authors declare no competing interests.

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Owens, K., Walker, A. Those designing healthcare algorithms must become actively anti-racist. Nat Med 26, 1327–1328 (2020). https://doi.org/10.1038/s41591-020-1020-3

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