Greater adoption of artificial intelligent tools requires resolution of the liability conundrum

Clinician-facing artificial intelligence (AI)-enabled tools can benefit patient care, but also have potential to cause physical or psychological patient harm. Opinions differ among stakeholders on who should be held responsible when such events occur - the clinician, the developer or vendor, the deploying institution, or some combination. Under current Australian tort law, clinicians remain primarily responsible for patient harm, even if software is shown to be flawed. As a result, clinicians may avoid or delay using AI tools despite demonstrated benefits to patient care. We briefly describe unique legal challenges posed by the use of AI tools, propose a framework for sharing liability among all parties according to their contribution to AI-related harm, and, failing this, offer nine strategies that clinicians and health services can adopt now to lower their liability risk.

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Publication Details

Journal
Australian Health Review
Published
2026-10-26
DOI
https://doi.org/10.1071/ah26098
Primary Topic
Medical Malpractice and Liability Issues
Type
article
Field-Weighted Citation Impact
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article

Greater adoption of artificial intelligent tools requires resolution of the liability conundrum

Peter Douglas, Anton H. van der Vegt, Ian R Freckelton, Ian A Scott
Australian Health Review
Medical Malpractice and Liability Issues
article

Greater adoption of artificial intelligent tools requires resolution of the liability conundrum

Peter Douglas, Anton H. van der Vegt, Ian R Freckelton, Ian A Scott
article en

Abstract

Clinician-facing artificial intelligence (AI)-enabled tools can benefit patient care, but also have potential to cause physical or psychological patient harm. Opinions differ among stakeholders on who should be held responsible when such events occur - the clinician, the developer or vendor, the deploying institution, or some combination. Under current Australian tort law, clinicians remain primarily responsible for patient harm, even if software is shown to be flawed. As a result, clinicians may avoid or delay using AI tools despite demonstrated benefits to patient care. We briefly describe unique legal challenges posed by the use of AI tools, propose a framework for sharing liability among all parties according to their contribution to AI-related harm, and, failing this, offer nine strategies that clinicians and health services can adopt now to lower their liability risk.

Australian Health ReviewVol. 50(5)
The University of Queensland (AU), The University of Melbourne (AU), Metro South Health (AU), Digital China Health (China) (CN), Unidad de Investigación en Salud Digital (ES), Monash University (AU)
Openalex Percentile: Top 7%
Medical Malpractice and Liability Issues
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Greater adoption of artificial intelligent tools requires resolution of the liability conundrum — Peter Douglas, Anton H. van der Vegt, et al. · Australian Health Review (2026) | TGRS Research Map | TGRS