Mitigating Racial Bias in Machine Learning

Kristin M. Kostick-Quenet, I. Glenn Cohen, Sara Gerke, Bernard Lo, James Antaki, Faezah Movahedi, Hasna Njah, Lauren Schoen, Jerry E. Estep, J. S. Blumenthal-Barby

Research output: Contribution to journalArticlepeer-review

10 Citations (SciVal)


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.

Original languageEnglish (US)
Pages (from-to)92-100
Number of pages9
JournalLaw, medicine & health care : a publication of the American Society of Law & Medicine
Issue number1
StatePublished - 2022

All Science Journal Classification (ASJC) codes

  • Issues, ethics and legal aspects
  • Health Policy


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