Artificial intelligence in clinical decision-making: Rethinking liability

Q2 Social Sciences
Helen Smith, K. Fotheringham
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引用次数: 26

Abstract

This article theorises, within the context of the law of England and Wales, the potential outcomes in negligence claims against clinicians and software development companies (SDCs) by patients injured due to AI system (AIS) use with human clinical supervision. Currently, a clinician will likely shoulder liability via a negligence claim for allowing defects in an AIS’s outputs to reach patients. We question if this is ‘fair, just and reasonable’ to clinical users: we argue that a duty of care to patients ought to be recognised on the part of SDCs as well as clinicians. As an alternative to negligence claims, we propose ‘risk pooling’ which utilises insurance. Here, a fairer construct of shared responsibility for AIS use could be created between the clinician and the SDC; thus, allowing a rapid mechanism of compensation to injured patients via insurance.
人工智能在临床决策中的责任反思
本文在英格兰和威尔士法律的背景下,对因人工智能系统(AIS)在人类临床监督下的使用而受伤的患者对临床医生和软件开发公司(SDCs)的过失索赔的潜在结果进行了理论分析。目前,临床医生可能会因允许AIS输出中的缺陷到达患者手中而通过过失索赔承担责任。我们质疑这对临床使用者来说是否“公平、公正和合理”:我们认为,SDCs和临床医生都应该承认对患者的照顾义务。作为过失索赔的替代方案,我们建议使用保险的“风险分担”。在这里,临床医生和SDC之间可以建立一个更公平的AIS使用分担责任的结构;因此,允许通过保险对受伤患者进行快速补偿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medical Law International
Medical Law International Social Sciences-Law
CiteScore
2.60
自引率
0.00%
发文量
14
期刊介绍: The scope includes: Clinical Negligence. Health Matters Affecting Civil Liberties. Forensic Medicine. Determination of Death. Organ and Tissue Transplantation. End of Life Decisions. Legal and Ethical Issues in Medical Treatment. Confidentiality. Access to Medical Records. Medical Complaints Procedures. Professional Discipline. Employment Law and Legal Issues within NHS. Resource Allocation in Health Care. Mental Health Law. Misuse of Drugs. Legal and Ethical Issues concerning Human Reproduction. Therapeutic Products. Medical Research. Cloning. Gene Therapy. Genetic Testing and Screening. And Related Topics.
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