Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption

This article contributes to the ongoing debate about legal liability and responsibility for patient harm in scenarios where artificial intelligence (AI) is used in healthcare.We note that due to the structure of negligence liability in England and Wales, it is likely that clinicians would be held solely negligent for patient harms arising from software defects, even though AI algorithms will share the decision-making space with clinicians.Drawing on previous research, we argue that the traditional model of negligence liability for clinical malpractice cannot be relied upon to offer justice for clinicians and patients. There is a pressing need for law reform to consider the use of risk pooling, alongside detailed professional guidance for the use of AI in healthcare spaces.

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Publication Details

Journal
Future Healthcare Journal
Published
2024-09-01
DOI
https://doi.org/10.1016/j.fhj.2024.100181
Citations
9
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.08

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article

Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption

Kit Fotheringham, Helen Smith
9 citations
Future Healthcare Journal
Artificial Intelligence in Healthcare and Education
1.08
article

Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption

Kit Fotheringham, Helen Smith
article en
9 citations

Abstract

This article contributes to the ongoing debate about legal liability and responsibility for patient harm in scenarios where artificial intelligence (AI) is used in healthcare.We note that due to the structure of negligence liability in England and Wales, it is likely that clinicians would be held solely negligent for patient harms arising from software defects, even though AI algorithms will share the decision-making space with clinicians.Drawing on previous research, we argue that the traditional model of negligence liability for clinical malpractice cannot be relied upon to offer justice for clinicians and patients. There is a pressing need for law reform to consider the use of risk pooling, alongside detailed professional guidance for the use of AI in healthcare spaces.

Future Healthcare JournalVol. 11(3)
University of Bristol (GB)
Wellcome Trust
Gender equality
Openalex Percentile: Top 21%
Artificial Intelligence in Healthcare and Education
1.08
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Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption — Kit Fotheringham, Helen Smith · Future Healthcare Journal (2024) | TGRS Research Map | TGRS