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.
Authors
- Suryanarayanan Balakrishnan
- Iasmina Craici
- Jing Miao (ORCID: https://orcid.org/0000-0003-0642-9740)
- Wannasit Wathanavasin (ORCID: https://orcid.org/0000-0002-1765-6159)
- Michael A. Mao (ORCID: https://orcid.org/0000-0003-1814-7003)
- Wisit Cheungpasitporn
- Charat Thongprayoon
Institutions
- Mayo Clinic (US)
- Mayo Clinic in Florida (US)
- Charoenkrung Pracharak Hospital (TH)
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