Evaluating artificial intelligence bias in nephrology: the role of diversity, equity, and inclusion in AI-driven decision-making and ethical regulation.

Journal: Frontiers in artificial intelligence
Published Date: May 27, 2025

Abstract

BACKGROUND: The integration of Artificial Intelligence (AI) in nephrology has raised concerns regarding bias, fairness, and ethical decision-making, particularly in the context of Diversity, Equity, and Inclusion (DEI). AI-driven models, including Large Language Models (LLMs) like ChatGPT, may unintentionally reinforce existing disparities in patient care and workforce recruitment. This study investigates how AI models (ChatGPT 3.5 and 4.0) handle DEI-related ethical considerations in nephrology, highlighting the need for improved regulatory oversight to ensure equitable AI deployment.

Authors

  • Suryanarayanan Balakrishnan
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United States.
  • Charat Thongprayoon
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
  • Wannasit Wathanavasin
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United States.
  • Jing Miao
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
  • Michael A Mao
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Jacksonville, FL 32224, USA.
  • Iasmina M Craici
    Division of Nephrology and Hypertension, Mayo Clinic Minnesota, Rochester, MN, USA.
  • Wisit Cheungpasitporn
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.

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