Those designing healthcare algorithms must become actively anti-racist

Zotero / D&S Group / Top-Level Items 2022-02-23

Type Journal Article Author Kellie Owens Author Alexis Walker URL Rights 2020 Springer Nature America, Inc. Volume 26 Issue 9 Pages 1327-1328 Publication Nature Medicine ISSN 1546-170X Date 2020-09 Extra Number: 9 Publisher: Nature Publishing Group Journal Abbr Nat Med DOI 10.1038/s41591-020-1020-3 Accessed 2022-02-23 15:43:31 Library Catalog Language en Abstract 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.