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
https://www.nature.com/articles/s41591-020-1020-3
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
www.nature.com
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.