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中南大学学报(社会科学版)
ZHONGNAN DAXUE XUEBAO(SHEHUI KEXUE BAN)

2024年01月第30卷第1期
   
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文章编号:1672-3104(2024)01-0063-13
 
商业机构用户画像应用的政府治理责任研究
 
吴亮
 
(华东理工大学法学院,上海,200237)
 
摘  要: 商业机构的用户画像目前在人工智能系统、智能预测、场景识别等方面得到广泛应用,其“监控式”信息汇集方式带来的个人信息侵权风险、算法决策带来的过滤泡效应与差别对待风险,对政府的用户画像治理形成新挑战。我国已初步形成用户画像发展与治理的政策体系,相应法律框架也逐渐成型。在国际上,用户画像治理的政府责任包括个人信息治理和智能算法治理两种不同的模式,政府的用户画像治理责任应当在宪法的国家保护义务框架下,实现发展促进与风险预防的价值协调。我国应通过顶层设计对治理模式进行延伸迭代,推进个人信息治理与智能算法治理的协同,并且将预警原则和国家担保责任原则作为治理责任的分配原则。
 
关键词: 用户画像治理;政府责任;个人信息治理;智能算法治理
 
 
On the government governance responsibility of the application of user portrait in commercial organizations
 
WU Liang
 
(School of Law, East China University of Science and Technology, Shanghai 200237, China)
 
Abstract: User portraits of commercial organizations are now widely used in artificial intelligence systems, intelligent forecasting, scene recognition and other aspects. The risk of personal information infringement brought by the "monitoring based" information aggregation method, the filtering bubble effect and differential treatment risk brought by algorithm decision-making, pose new challenges to the government's user profile governance. China has initially formed a policy system for the development and governance of user profiles, and the corresponding legal framework has gradually taken shape. User profile governance responsibilities include two different modes: personal information governance and intelligent algorithm governance. The government's responsibility for user profile governance should be coordinated with the value of promoting development and preventing risks within the framework of the constitutional national protection obligation. China should extend and iterate the governance model through top-level design, promote the synergy between personal information governance and intelligent algorithm governance, and use the principles of early warning and national guarantee responsibility as the allocation principles of governance responsibilities.
 
Key words: user profile management; government responsibility; personal information governance; intelligent algorithm governance
 
 
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