Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach.

Journal: JMIR AI
Published Date: Dec 6, 2023

Abstract

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) technology design and development continues to be rapid, despite major limitations in its current form as a practice and discipline to address all sociohumanitarian issues and complexities. From these limitations emerges an imperative to strengthen AI and ML literacy in underserved communities and build a more diverse AI and ML design and development workforce engaged in health research.

Authors

  • Rachele Hendricks-Sturrup
    National Alliance Against Disparities in Patient Health, Woodbridge, VA, United States.
  • Malaika Simmons
    National Alliance Against Disparities in Patient Health, Woodbridge, VA, United States.
  • Shilo Anders
    Vanderbilt University Medical Center, Nashville, TN, United States.
  • Kammarauche Aneni
    Yale University, New Haven, CT, United States.
  • Ellen Wright Clayton
    Vanderbilt University Medical Center, Nashville, TN, United States.
  • Joseph Coco
    Vanderbilt University Medical Center, Nashville, TN, United States.
  • Benjamin Collins
    Vanderbilt University Medical Center, Nashville, TN, United States.
  • Elizabeth Heitman
    University of Texas Southwestern Medical Center, Dallas, TX, United States.
  • Sajid Hussain
    Fisk University, Nashville, TN, United States.
  • Karuna Joshi
    University of Maryland, Baltimore County, Baltimore, MD, United States.
  • Josh Lemieux
    OCHIN, Portland, OR, United States.
  • Laurie Lovett Novak
    Vanderbilt University Medical Center, Nashville, TN, United States.
  • Daniel J Rubin
    Temple University, Philadelphia, PA, United States.
  • Anil Shanker
    Department of Biochemistry, Cancer Biology, Neuroscience and Pharmacology, School of Medicine, Meharry Medical College, Nashville, TN, USA.
  • Talitha Washington
    AUC Data Science Initiative, Clark Atlanta University, Atlanta, GA, United States.
  • Gabriella Waters
    Morgan State University, Center for Equitable AI & Machine Learning Systems, Baltimore, MD, United States.
  • Joyce Webb Harris
    Vanderbilt University Medical Center, Nashville, TN, United States.
  • Rui Yin
    Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, College of Medicine, FL, USA. Electronic address: ruiyin@ufl.edu.
  • Teresa Wagner
    University of North Texas Health Science Center, SaferCare Texas, Fort Worth, TX, United States.
  • Zhijun Yin
    Vanderbilt University Medical Center, Nashville, TN, United States.
  • Bradley Malin
    Vanderbilt University Medical Center, Nashville, TN, United States.

Keywords

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