摘要
免受自动化决策约束权是维护数据主体权益的强效算法权利,其具有权利内涵丰富、行权体系复杂的特点。作为规制算法的先行者,欧盟和美国都对此项约束权作出制度回应,欧盟率先进行确权并从个人数据保护为中心的理念出发建构治理框架,而美国则结合其自由主义传统采算法违规规制为要义的治理模式,两者各有利弊。我国在算法治理领域已处于世界领先地位,对此项约束权正通过以《个人信息保护法》为基点,《互联网信息服务算法推荐管理规定》《电子商务法》等各法律领域规定分治的模式搭建行权监管机制,但在法治实践中仍存在法律资源不敷、治理体系不健全等缺陷。为实现更高效算法治理,我国需借鉴欧美之策,建构精准化规制、系统性监管的数据主体行权制度。
The right not to be subject to a decision based solely on automated processing is a powerful algorithmic right to safeguard the rights and interests of data subjects.It has the characteristics of the rich connotation of rights and a complex exercise system.As the forerunner of the regulation algorithm,the EU and the United States have made institutional responses to this right.The EU takes the lead in confirming the right and constructs the governance framework from the concept of personal data protection,while the United States adopts the governance model of algorithm violation regulation in combination with its liberal tradition.Both have their advantages and disadvantages.China has been in a leading position in the field of algorithm governance in the world.For the right not to be subject to a decision based solely on automated processing,we are building a power supervision mechanism by taking The Personal information protection law of China as the basic point,The Regulations on the recommendation and management of Internet information service algorithms,The E-commerce law,and other legal fields as separate governance models,but there are still insufficient legal resources in the practice of the rule of law Imperfect governance system and other defects.to achieve more efficient algorithmic governance,China needs to learn from the policies of Europe and the United States to construct a data subject exercise system with precise regulation and systematic supervision.
作者
梅傲
李梓鸿
Mei Ao;Li Zihong
出处
《国际经济法学刊》
2023年第4期54-66,共13页
Journal of International Economic Law
基金
2022年教育部重大攻关课题“我国海外利益保护法律体系构建研究”(22JZD015)的研究成果。
关键词
免受自动化决策约束权
算法决策
算法权利
个人数据
数据治理
The Right Not to Be Subject to Automated Decision-making
Algorithmic Decision
Algorithmic Rights
Personal Data
Data Governance
