脑机接口技术临床应用中的刑事风险及其应对  

Criminal risks and countermeasures in clinical application of brain computer interface technology

作　　者：李淑娟[1] 王昕 Li Shujuan;Wang Xin(Law School of Zhengzhou University,Zhengzhou 45000l,China)

机构地区：[1]郑州大学法学院,郑州450001

出　　处：《卫生法学》2024年第6期86-91,共6页Health Law

摘　　要：脑机接口技术在临床应用中的发展为现行刑法规范带来新的挑战。主要存在“一体化”隐私保护的刑法模式以及当前入罪标准无法满足对高敏脑信息的保护,配套手术机器人刑事责任主体地位认定模糊,以及“算法黑箱”导致过失犯罪因果关系及责任认定障碍的问题。针对上述困境提出采用隐私与信息分离的“二元化”刑法规制模式并降低入罪标准,依照手术机器人自动化程度对其刑事责任主体地位分级认定,利用风险创设理论检验入罪合理性的建议。The development of brain computer interface technology in clinical applications has brought new challenges to current criminal law norms.There are mainly issues with the criminal law model of"integrated"privacy protection,as well as the current criminalization standards that cannot meet the protection of highly sensitive brain information,the unclear identification of the criminal responsibility subject status of supporting surgical robots,and the"algorithm black box"that leads to obstacles in the causal relationship and responsibility identification of negligent crimes.In response to the above difficulties,it is proposed to adopt a"binary"criminal law regulation model that separates privacy and information,reduce the criminalization criteria,classify the criminal responsibility status of surgical robots based on their automation level,and using risk creation theory to test the rationality of incrimination.

关 键 词：脑机接口技术 刑事风险 精神安全法益 大脑信息 算法黑箱 

分 类 号：D902[政治法律—法学理论]