aceEthics in AI Research: Emerging Governance Challenges for Institutional Review Boards in Health Systems
Artificial intelligence (AI) is increasingly integrated into health research, creating ethical questions that extend beyond privacy, consent, bias, transparency, accountability, and safety. Existing bioethical principles and AI governance frameworks provide essential foundations but complex health-data ecosystems also raise institutional questions concerning reviewer capability, stewardship, reciprocity, authority, and downstream value. This Perspective proposes a stewardship-centered extension organized around…
AI health research raises governance questions that existing ethics frameworks do not fully cover, including reviewer capability, data stewardship, contribution justice, and ownership, which IRBs may be unequipped to handle.
The framework is conceptual and has not been empirically validated as a standard, so its practical effectiveness is untested.
Evidence
- Peer-reviewedJournal of Multidisciplinary Healthcare2026-10-14
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Truvace Impact Record TRV-2026-1888, v1: “Ethics in AI Research: Emerging Governance Challenges for Institutional Review Boards in Health Systems.” Truvace, 2026-10-19. /record/TRV-2026-1888 (accessed at citation time). sha256 cadd6aa868c6cc57…
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