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

While ChatGPT 4.0 shows improvement in ethical AI decision-making, its limited recognition of bias and DEI considerations underscores the need for robust AI regulatory frameworks in nephrology. AI governance must incorporate structured DEI guidelines, ongoing bias detection mechanisms, and ethical oversight to prevent AI-driven disparities in clinical practice and workforce recruitment. This study emphasizes the importance of transparency, fairness, and inclusivity in AI development, calling for collaborative efforts between AI developers, nephrologists, policymakers, and patient communities to ensure AI serves as an equitable tool in nephrology.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2025-05-27
DOI
https://doi.org/10.3389/frai.2025.1525937
Citations
4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
2.62
Controls
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article

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

Suryanarayanan Balakrishnan, Iasmina Craici, Jing Miao, Wannasit Wathanavasin et al.
4 citations
Frontiers in Artificial Intelligence
Artificial Intelligence in Healthcare and Education
2.62
article

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

Suryanarayanan Balakrishnan, Iasmina Craici, Jing Miao, Wannasit Wathanavasin, Michael A. Mao, Wisit Cheungpasitporn, Charat Thongprayoon
article en
4 citations

Abstract

While ChatGPT 4.0 shows improvement in ethical AI decision-making, its limited recognition of bias and DEI considerations underscores the need for robust AI regulatory frameworks in nephrology. AI governance must incorporate structured DEI guidelines, ongoing bias detection mechanisms, and ethical oversight to prevent AI-driven disparities in clinical practice and workforce recruitment. This study emphasizes the importance of transparency, fairness, and inclusivity in AI development, calling for collaborative efforts between AI developers, nephrologists, policymakers, and patient communities to ensure AI serves as an equitable tool in nephrology.

Frontiers in Artificial IntelligenceVol. 8
Mayo Clinic (US), Mayo Clinic in Florida (US), Charoenkrung Pracharak Hospital (TH)
Openalex Percentile: Top 9%
Artificial Intelligence in Healthcare and Education
2.62
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Evaluating artificial intelligence bias in nephrology: the role of diversity, equity, and inclusion in AI-driven decision-making and ethical regulation — Suryanarayanan Balakrishnan, Iasmina Craici, et al. · Frontiers in Artificial Intelligence (2025) | TGRS Research Map | TGRS