Extrinsic Trust as a Contractual Framework for Accountable AI in Health Care: Viewpoint.
expert_opinion · Level V
Where this comes from
- Record sourced from PubMed, PMID 41813238.
- Also identified by DOI 10.2196/83903 and PMC identifier 12978903.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Artificial intelligence (AI) promises efficiency and equity in health care. However, adoption remains fragmented due to weak foundations of trust. This Viewpoint highlights the gap between intrinsic trust, based on interpretability, and extrinsic trust, based on functional validation. We propose a contractual framework between AI systems and users defined by 3 promises: reliability, scope and equity, and shift and uncertainty. Illustrated through a vignette, we show how health systems can operationalize these promises through structured evidence and governance, translating trustworthy AI into accountable clinical deployment.
Medical subject headings
- Artificial Intelligence
- Trust
- Delivery of Health Care