个人信息权利的类型化保护与风险预防

Categorical Protection and Risk Prevention of Personal Information Rights

摘要: 随着数据所蕴含的价值逐渐被人们发现和利用，数据权利这一概念逐渐出现在人们的视野中，数据侵权问题也开始频繁发生，首当其冲的便是个人信息权利的保护问题，并且贯穿于数据的收集、处理和输出全过程。从比例原则的角度，数据的保护并不是绝对的、完全的、无底线的，在公共利益面前，个人利益可能需要让步，在个人利益受到侵害时，企业的权限也需得到限制。因此数据保护切忌过度泛化，应注重类型化保护，个人信息权利保护切忌单一化，应基于权利束概念进行动态保护。个人信息保护与隐私权保护最大的区别在于持续不平等的数据处理关系，而个人信息保护的本质在于前置性保护规范。这意味着个人信息权利保护应从传统的被动抵制改变为主动的风险预防，这就需要建立完善的风险预防与问责机制，明确个人数据、企业数据和公共数据的保护边界，制定关于数据的类型化保护机制，从而平衡好个人信息权利保护与数据价值的关系。

Abstract: As the value embedded in data is gradually recognized and utilized, the concept of data rights has gradually emerged in public discourse, and data infringement issues have begun to occur frequently. Among these, the foremost concern is the protection of personal information rights, which is implicated throughout the entire process of data collection, processing, and utilization. From the perspective of the principle of proportionality, data protection is neither absolute nor unlimited. In the face of public interest, individual interests may need to yield; conversely, when individual interests are infringed upon, the scope of corporate authority must also be constrained. Therefore, data protection must avoid over-generalization and instead focus on categorized protection. Similarly, the protection of personal information rights should not be uniform; rather, it should adopt a dynamic approach based on the concept of a bundle of rights. The most significant distinction between the protection of personal information and the protection of privacy lies in the sustained inequality inherent in data processing relationships. The essence of personal information protection lies in the establishment of ex-ante regulatory safeguards. This implies that the protection of personal information rights should shift from a traditional model of passive resistance to one of active risk prevention. Achieving this requires the establishment of robust risk prevention and accountability mechanisms, the clarification of boundaries between personal data, corporate data, and public data, and the development of categorized protection mechanisms for data, thereby balancing the protection of personal information rights with the value derived from data.