摘要
算法中个人信息保护与非算法处理的个人信息保护方法不同,也与隐私权保护具有不同的规则体系。传统保护模式下的民事保护、经济法保护、刑事保护、信义义务保护可分别从一定角度来达到个人信息保护的效果,但是均无法构建系统完整的个人信息保护规则体系,也难以实现算法中个人信息保护与利用的平衡。《个人信息保护法》设定的有关个人信息保护的重要具体制度,也难以融入传统法律规则体系并实施。笔者认为,算法中个人信息保护规则难以形成体系的根本原因在于个人信息作为法律关系客体的模糊性与场景性。为弥补现有个人信息保护规则体系缺陷,可以通过提升算法平台规则的层级,将其上升为具有准法律效力的个人信息保护自治性规则,同时作为《个人信息保护法》的执行性规则;对于有争议的部分,则可通过诉讼中的规则审查方式来实现国家监管与权利救济。
The personal information protection methods in algorithms are different from those in non algorithmic processing,and also have different rule systems from privacy protection.Under the traditional protection model,civil protection,economic law protection,criminal protection,and fiduciary duty protection can achieve the effect of personal information protection from certain perspectives,but none of them can build a complete system of personal information protection rules,and it is also difficult to achieve a balance between personal information protection and utilization in algorithms.The important specific systems for personal information protection established by the Personal Information Protection Law cannot be integrated into the traditional legal rule system and implemented.The fundamental reason for the difficulty in forming a systematic system for personal information protection rules in algorithms is the ambiguity and situational nature of personal information as a legal relationship object.To compensate for the deficiencies in the existing system of personal information protection rules,it is possible to elevate the level of algorithmic platform rules to become autonomous rules with quasi legal effect for personal information protection,while also serving as enforcement rules for the Personal Information Protection Law;For disputed parts,national regulation and rights remedies can be achieved through rule review in litigation.
出处
《数字法治》
2024年第1期93-111,共19页
DIGITAL LAW
基金
2021年度国家社科基金重大项目“互联网平台的社会影响及治理路径研究”(项目编号:21&ZD195)
2021年度国家社科基金重点项目“自动化行政算法决策的法律控制”(项目编号:21AFX004)的阶段性研究成果
作者简介
范明志,中国政法大学数据法治研究院教授、博士生导师;吕一川,中国政法大学数据法治研究院硕士生
