This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (525) Artificial Intelligence (1421) User-centred Design Case Studies (602) Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434) Validity, Reliability, and Bias (94)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43251, first published .
Human-Centered Design to Address Biases in Artificial Intelligence

Human-Centered Design to Address Biases in Artificial Intelligence

Human-Centered Design to Address Biases in Artificial Intelligence

Authors of this article:

You Chen1, 2 Author Orcid Image ;   Ellen Wright Clayton3, 4, 5 Author Orcid Image ;   Laurie Lovett Novak1 Author Orcid Image ;   Shilo Anders1, 2, 6 Author Orcid Image ;   Bradley Malin1, 2, 4, 7 Author Orcid Image
Article Authors Cited by (50) Tweetations (13) Metrics

You Chen   1, 2 , PhD ;   Ellen Wright Clayton   3, 4, 5 , MD, JD ;   Laurie Lovett Novak   1 , PhD ;   Shilo Anders   1, 2, 6 , PhD ;   Bradley Malin   1, 2, 4, 7 , PhD

1 Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States

2 Department of Computer Science, Vanderbilt University, Nashville, TN, United States

3 Law School, Vanderbilt University, Nashville, TN, United States

4 Center for Biomedical Ethics and Society, Vanderbilt University Medical Center, Nashville, TN, United States

5 Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States

6 Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States

7 Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States

Corresponding Author:

  • You Chen, PhD
  • Department of Biomedical Informatics
  • Vanderbilt University Medical Center
  • 2525 West End Ave
  • Nashville, TN, 37203
  • United States
  • Phone: 1 6153431939
  • Email: you.chen@vanderbilt.edu