Medical AI, standard of care in negligence and tort law
Publication Type
Book Chapter
Version
acceptedVersion
Publication Date
10-2021
Abstract
AI is increasingly utilised in the provision of medical services to diagnose diseases, treat illnesses and perform surgery. There is growing evidence that AI can outperform human doctors in diagnoses. Nonetheless, AI is not immune from errors. This paper discusses the potential tort liabilities of doctors and hospitals arising from the use of AI in medical services provision, in particular, the standard of care expected of them under the tort of negligence applicable to Singapore and Malaysia. This issue is examined by reference to competing considerations such as efficiency, the promotion of medical innovations, the relevance of ethical guidelines applicable to the medical profession and patient welfare. It is proposed that the standard of care principles in the common law tort of negligence provide a fault-based framework that is sufficiently flexible to accommodate the use of AI innovations in healthcare. The criteria for determining the appropriate standard of care allow for a judicious balance amongst the competing considerations. On the other hand, the doctrines of vicarious liability and non-delegable duties do not in themselves support making the hospitals and doctors strictly liable in tort for injuries suffered by patients arising from the use of medical AI.
Keywords
Tort Law, Standard of Care, Medical Negligence, Artificial Intelligence, Vicarious Liability, Non-delegable duties
Discipline
Artificial Intelligence and Robotics | Medical Jurisprudence | Torts
Research Areas
Innovation, Technology and the Law
Publication
AI, Data and Private Law: Translating Theory into Practice
Editor
Gary Chan and Yip Man
First Page
173
Last Page
198
ISBN
9781509946860
Identifier
10.5040/9781509946860.ch-008
Publisher
Hart Publishing
City or Country
Oxford
Citation
CHAN, Gary Kok Yew.
Medical AI, standard of care in negligence and tort law. (2021). AI, Data and Private Law: Translating Theory into Practice. 173-198.
Available at: https://ink.library.smu.edu.sg/sol_research/3457
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.5040/9781509946860.ch-008