人工智能辅助医疗侵权的归责困境与消解
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作者单位:

湖南工业大学法学院,湖南 株洲, 412007

作者简介:

刘谢慈,博士,副教授,研究方向为诉讼法学、数字法学、司法制度。E-mail:liuxieci@qq.com

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中图分类号:

D923;R197.39

基金项目:

湖南省教育厅科学研究重点项目“数字司法建设中审判资源动态配置研究”(23A0421);湖南省哲学社会科学基金项目“风险社会治理背景下民事诉讼合并制度的规范化研究”(21YBQ067)


The Attribution Dilemma and Resolution of Liability inAI-Assisted Medical Malpractice
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Law School Hunan University of Technology Zhuzhou 412007 China

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    摘要:

    当前,人工智能技术在医疗领域迅速拓展,人工智能辅助医疗中的侵权责任认定问题也日益凸显。由于医疗人工智能(Artificial Intelligence, AI)自身属性特点以及我国相关法律规定的缺失,人机合作的医疗活动致患者损害的责任认定仍一味地采用传统的医疗损害责任认定,而真正的责任主体未能被有效规制。通过比较研究法、案例分析法等对人工智能辅助医疗的具体归责问题进行研究发现,人类医师在人机合作体系中有其角色定位与应尽义务,在人工智能辅助医疗侵权事故发生之时,应当坚持医疗人工智能的产品属性和辅助地位,并通过降低受害人的举证难度、增加生产者的主体范围等方式以适当调整医疗损害责任与医疗产品责任规则,明确不同情形下的责任主体和归责方式,以期保障各方的权益。

    Abstract:

    At present artificial intelligence AI technology is rapidly expanding in the medical field and the issue of liability identificationin artificial intelligence-assisted medical treatment is becoming increasingly prominent. Due to the characteristics of medicalartificial intelligence itself and the lack of relevant laws in China the identification of liability for patient harm caused by man-machinecooperation medical activities still blindly adopts the traditional liability for medical malpractice and the true liability subject has notbeen effectively regulated. Through comparative research methods and case analysis this paper studies the specific attribution issuesof AI-assisted medical malpractice discusses the role positioning and obligations of human physicians in the man-machine cooperationsystem and concludes that the product attribute and auxiliary status of medical artificial intelligence should be adhered to when the infringementaccident of AI-assisted medical treatment occurs. By reducing the difficulty of proof of the victim and expanding the scopeof the subject of the producer the rules of liability for medical damage and medical product liability should be properly adjusted toclarify the subject of liability and the way of liability under different circumstances to protect the rights and interests of all parties.

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刘谢慈,张璧瑜. 人工智能辅助医疗侵权的归责困境与消解[J]. 南京工程学院学报(社会科学版),2024,24(2):40 49.

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  • 收稿日期:2024-04-01
  • 最后修改日期:2024-06-02
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  • 在线发布日期: 2024-08-13
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