Mitigating Racial Bias in Machine Learning

J Law Med Ethics. 2022;50(1):92-100. doi: 10.1017/jme.2022.13.


When applied in the health sector, AI-based applications raise not only ethical but legal and safety concerns, where algorithms trained on data from majority populations can generate less accurate or reliable results for minorities and other disadvantaged groups.

Keywords: Algorithmic Bias; Artificial Intelligence; Ethics; Machine Learning; Racial Bias.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Artificial Intelligence*
  • Humans
  • Machine Learning
  • Racism*