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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Sep 10, 2025
Date Accepted: Feb 4, 2026

The final, peer-reviewed published version of this preprint can be found here:

Extrinsic Trust as a Contractual Framework for Accountable AI in Health Care: Viewpoint

Kelly A

Extrinsic Trust as a Contractual Framework for Accountable AI in Health Care: Viewpoint

J Med Internet Res 2026;28:e83903

DOI: 10.2196/83903

Extrinsic trust as a contractual framework for accountable AI in healthcare: A viewpoint

  • Anthony Kelly

ABSTRACT

Artificial intelligence promises efficiency and equity in healthcare. However, adoption remains fragmented due to weak foundations of trust. This Perspective highlights the gap between intrinsic trust based on interpretability, and extrinsic trust based on functional validation. A contractual framework between the AI system and the user is proposed, consisting of three promises: reliability, scope & equity, and shift & uncertainty. Illustrated through a vignette, we argue that health systems require structured evidence, governance frameworks, and data infrastructure to embed these promises, ensuring accountable, safe, and equitable AI deployment.


 Citation

Please cite as:

Kelly A

Extrinsic Trust as a Contractual Framework for Accountable AI in Health Care: Viewpoint

J Med Internet Res 2026;28:e83903

DOI: 10.2196/83903

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