Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review.

Journal: JAMA dermatology
Published Date: Nov 1, 2021

Abstract

IMPORTANCE: Clinical artificial intelligence (AI) algorithms have the potential to improve clinical care, but fair, generalizable algorithms depend on the clinical data on which they are trained and tested.

Authors

  • Roxana Daneshjou
    1Department of Biomedical Data Science, Stanford School of Medicine, Stanford, California, USA; email: roxanad@stanford.edu.
  • Mary P Smith
    Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Mary D Sun
    currently a medical student at Icahn School of Medicine at Mount Sinai, New York, New York.
  • Veronica Rotemberg
    Dermatology Service, Memorial Sloan-Kettering Cancer Center, New York, NY.
  • James Zou
    Department of Biomedical Data Science, Stanford University, Stanford, California.

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