| 2,007 | 0 | 168 |
| 下载次数 | 被引频次 | 阅读次数 |
人工智能与机器人技术的结合应用在现代临床治疗与术后康复等场景下不断取得突破,为智慧医疗快速发展起到了不可磨灭的作用,但其引发的事故也不断挑战传统事故责任制度。由于开发主体多元、人工智能算法、人机混控等多重因素,AI医疗机器人事故的事故原因、行为判定、责任分配变得十分复杂,给传统事故责任制度带来巨大挑战。对AI医疗机器人事故原因进行类型化分析可以发现,事故发生原因往往呈多元化趋势,这让仅能处理清晰过错事故的传统事故责任制度明显不适用。为了更好应对这些挑战,我国应当构建针对AI医疗机器人的特殊责任制度,在明定AI医疗机器人法律地位的基础上,明确AI医疗机器人的事故责任类型和事故责任分配,以期实现法律规制和智慧医疗科技发展之间的平衡。
Abstract:The combined application of artificial intelligence and robot technology has made continuous breakthroughs in modern clinical treatment and postoperative rehabilitation and other scenarios, which has played an indelible role in the rapid development of smart medical treatment, but the accidents caused by it also continue to challenge the traditional accident liability system. Due to multiple factors such as multiple development subjects, artificial intelligence algorithms, and man-machine mixing control, the accident cause, behavior determination, and responsibility allocation of AI medical robot accidents have become very complicated, which has brought great challenges to the traditional accident liability system. The type analysis of the causes of accidents of AI medical robots can be found that the causes of accidents are often diversified, which makes the traditional accident liability system that can only deal with clear fault accidents obviously not applicable. In order to better cope with these challenges, China should build a special liability system for AI medical robots, and clarify the accident liability type and accident liability distribution of AI medical robots on the basis of clearly defining the legal status of AI medical robots, in order to achieve a balance between legal regulation and the development of smart medical technology.
[1] 杨丽晓,侯正松,唐伟,等.近年手术机器人的发展[J].中国医疗器械杂志,2023,47(01):1-12.
[2] 沈伟伟.人形机器人事故责任制度的困境及应对[J].东方法学,2024,(03):88-100.
[3] 徐伟琨,沈春悦.AI医疗机器人临床应用法律风险及其应对策略[J].中国医院,2024,28(10):53-59.
[4] 中华人民共和国中央人民政府.工业和信息化部关于印发《人形机器人创新发展指导意见》的通知[EB/OL]. (2023-10-20) [2024-01-22].https://www.gov.cn/zhengce/zhengceku/202311/content_6913398.htm.
[5] Yao Guo, Xiao Gu,Guang-Zhong Yang.Human-Robot Interaction for Rehabilitation Robotics[J].Digitalization in Healthcare: Implementing Innovation and Artificial Intelligence, Springer, 2021:269-295.
[6] 健康界.国产机器人大时代已来,中国腔镜手术机器人研究报告[EB/OL]. (2022-01-04) [2024-02-23].https://www.cn-healthcare.com/articlewm/20220104/content-1302798.html.
[7] 国联证券.医药生物行业深度报告:国产手术机器人进入商业化时代[EB/OL]. (2023-08-07) [2024-03-21].http://cn-witmed.com/list/5/7328.html.
[8] 张博寒,任志方,王艳玲,等.机器人辅助神经系统疾病病人康复训练的研究进展[J].护理研究,2022,36(07):1203-1209.
[9] 第IX次学術推進会議報告書:人工智能(AI)と医療[R].2018,(06):12-14.
[10] 朱钟锐,马辉.我国手术机器人设计者侵权责任研究[J].医学与社会,2024,37(01):124-129+144.
[11] 季卫东.人工智能开发的理念、法律以及政策[J].东方法学,2019,(05):4-13.
[12] 徐伟琨.自动化行政中相对人算法决策拒绝权的实现路径[C].上海法学研究,2023,(05):105-114.
[13] 刘惠明,张盛楠.智能医疗机器人侵权责任问题研究[J].医学与社会,2022,35(12):132-137.
[14] 欧阳安,霍文磊.我国手术机器人产业发展现状及对策建议[J].中国仪器仪表,2021,(12):21-25.
[15] 王轶晗,王竹.前奇点阶段人工智能侵权责任研究——以医疗人工智能为视角[C].上海法学研究,2021,(05):54-67.
[16] 窦海阳.《侵权责任法》中“高度危险”的判断[J].法学家,2015,(02):92-103+178.
[17] 郑志峰.诊疗人工智能的医疗损害责任[J].中国法学,2023,(01):203-221.
[18] 骁克.人工智能体法律人格化拟制路径之探究[J].法律方法,2021,34(01):265+268-279.
[19] 朱振.归责何以可能:人工智能时代的自由意志与法律责任[J].比较法研究,2022,(01):39-54.
[20] 黄丁全.医事法新论[M].北京:法律出版社,2013:450.
[21] 王竹主.《民法典·侵权责任编》(编纂建议稿)附立法理由书[M].北京:清华大学出版社,2019:248.
[22] 王竹.再论共同危险行为——以客观关联共同侵权行为理论为视角[J].福建师范大学学报(哲学社会科学版),2010,(04):138-146.
[23] 林洧.人工智能医疗侵权纠纷中的责任承担与举证分配[J].太原理工大学学报(社会科学版),2024,42(01):21-28.
基本信息:
中图分类号:R-051;D922.16;D923
引用信息:
[1]徐伟琨.AI医疗机器人事故责任认定的困境及应对[J].攀枝花学院学报().
基金信息:
国家社会科学基金青年项目“人工智能法律规制的类型化路径研究”(19CFX006)
2025-04-07
2025-04-07
2025-04-07