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医疗人工智能领域同意规则的困境与出路
网络安全与数据治理
杨正杰,邓佳琳
西南民族大学法学院
摘要:随着人工智能的发展,个人信息保护与个人数据运用之间的矛盾凸显。个人医疗信息保护是管窥人工智能时代同意规则困境与解困之路的最佳范例,人工智能医疗领域具有广阔的研究价值,但其前提都依赖海量个人医疗数据之处理。然而,当前以同意规则为核心构建起来的个人信息保护制度却难以应对医疗人工智能时代对个人医疗信息保护的挑战。传统的同意规则作为个人信息处理的正当性依据陷入重重困境之中。革新而非放弃同意规则是人工智能时代个人信息保护的解困之道。在坚守同意规则的核心价值基础上,引入场景理论,并在特定目的下结合比例原则,差异化重构同意规则,实现同意规则的分场景分层次的动态化适用,以期平衡个人信息保护与个人数据的利用。
中图分类号:D920.0 文献标识码:ADOI:10.19358/j.issn.2097-1788.2025.04.011
引用格式:杨正杰,邓佳琳. 医疗人工智能领域同意规则的困境与出路[J].网络安全与数据治理,2025,44(4):73-78.
The dilemma and outlet of consent rules in medical artificial intelligence field
Yang Zhengjie,Deng Jialin
Law School,Southwest University for Nationalities
Abstract:With the development of the artificial intelligence, the relationship between personal information protection and personal data use appears to be relatively tense. Personal medical information protection is the best example to explore the dilemma and solution of consent rules in the era of artificial intelligence. The field of artificial intelligence has broad research value, but its premise depends on the processing of massive personal medical data. However, the current personal information protection system based on consent rules is difficult to meet the challenges of personal medical information protection in the era of medical artificial intelligence. The traditional consent rule, as the justification basis of personal information processing, is in many difficulties. Innovation, not abandonment of consent rules, is the solution to personal information protection in the age of artificial intelligence. On the basis of adhering to the core value of the consent rule, this paper introduces the scene theory, and combines the principle of proportion under a specific purpose to reconstruct the consent rule differently, to achieve the dynamic application of the consent rule in different scenarios and layers, so as to balance the protection of personal information and the utilization of personal data.
Key words :personal medical information; medical artificial intelligence; scene theory; principle of proportionality

引言

随着人工智能、网络技术、信息技术的不断进步与发展,新质生产力的发展亟需生产关系的变革。产生于“小数据时代”的同意规则在人工智能时代出现了诸多不适,同意的作用被弱化和虚化[1],亟需要对传统的同意规则进行变革,以适应人工智能所需要的海量数据场景,平衡个人信息保护与个人数据利用直接的关系。

个人医疗信息是讨论同意规则这一问题的最佳路径,其原因在于:第一,以深度学习算法、大规模并行计算技术为基础,人工智能在医疗领域最早应用且发展迅速。对个人医疗信息保护的研究具有前瞻性和代表性。第二,大数据、人工智能与医疗行业的结合将成为未来重要的发展方向,大数据时代对个人医疗信息的收集与利用所暴露出的问题最为丰富,对其分析所得出来的经验也最具有启发意义。第三,国外对知情同意原则讨论最多的还是在个人信息保护框架下的个人医疗信息领域。如何平衡个人信息保护与个人数据利用的关系、知情规则的放弃与改良关系,个人医疗信息的探讨经验都为其提供了极为有价值的参考。通过对个人医疗信息的研究,提出面向人工智能和大数据时代知情同意原则重塑的新思路,期望能对个人信息一般保护中的同意规则适用有所启示,以纾解同意规则在人工智能时代面临的各种困境。


本文详细内容请下载:

https://www.chinaaet.com/resource/share/2000006416


作者信息:

杨正杰,邓佳琳

(西南民族大学法学院,四川成都610041)


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