aceEmbedded transparency in artificial intelligence: a prerequisite for equity and representation in AI-enabled clinical trials
Artificial intelligence is being embedded in clinical trial infrastructure, shaping who is identified, stratified, and analysed. Opaque models risk amplifying existing disparities in the evidence base. We argue that embedded transparency, the structural integration of ex ante interpretability, demographic auditability, documented uncertainty handling, and stakeholder-relative explanation, is a necessary, though not sufficient, condition for equitable AI-enabled trials, and propose governance recommendations acti…
Opaque AI models embedded in clinical trial infrastructure risk amplifying existing disparities in the evidence base by shaping who is identified and analyzed.
Evidence
- Peer-reviewedInternational Journal of Innovative Technologies in Social Science2025-09-01
- Peer-reviewedAmerican Journal of Advanced Technology and Engineering Solutions2020-01-01
- Peer-reviewednpj Digital Medicine2026-07-11
- Peer-reviewedMedicine International2025-12-09
- Peer-reviewedSignal Transduction and Targeted Therapy2026-06-02
How should this claim be treated?
Truvace Impact Record TRV-2026-0313, v5: “Embedded transparency in artificial intelligence: a prerequisite for equity and representation in AI-enabled clinical trials.” Truvace, 2026-10-15. /record/TRV-2026-0313 (accessed at citation time). sha256 cda3acbfc0db8976…
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