Mitigating Racial Bias in Machine Learning.

Journal: The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics
Published Date: Jan 1, 2022

Abstract

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.

Authors

  • Kristin M Kostick-Quenet
  • I Glenn Cohen
    Harvard Law School, Cambridge, Massachusetts, United States of America.
  • Sara Gerke
    The Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School; The Project on Precision Medicine, Artificial Intelligence, and the Law, Cambridge, MA, USA.
  • Bernard Lo
  • James Antaki
  • Faezah Movahedi
  • Hasna Njah
  • Lauren Schoen
  • Jerry E Estep
  • J S Blumenthal-Barby

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