法律应对个性化推荐算法隐私侵蚀的路径转向

A Shift in Legal Approaches to Privacy Erosion by Personalized Recommendation Algorithms

摘要: 面对个性化推荐算法对隐私的系统性、持续性侵蚀，传统以“用户知情同意”为核心的前端、静态法律框架已然失效。法律应对的路径必须实现根本性转向：从事后救济、形式合规，转向以“算法问责”为核心，通过强制性的算法审计、持续的风险评估与透明的信息披露，构建一个动态、过程化、以规制算法系统本身为重心的新型治理范式。

Abstract: Faced with the systematic and persistent erosion of privacy by personalized recommendation algorithms, the traditional front-end, static legal framework centered on “user-informed consent” has become ineffective. The legal response must undergo a fundamental shift: from post-remedy and formal compliance to a new governance paradigm centered on “algorithmic accountability”, which involves mandatory algorithmic audits, continuous risk assessments, and transparent information disclosure, aiming to build a dynamic, procedural governance paradigm that focuses on regulating the algorithm system itself.