面向跨模态隐私保护的AI治理法律技术化框架

AI Governance Oriented Legal to Technology Bridging Framework for Cross-modal Privacy Protection

随着虚拟社区在网络用户中的普及,虚拟社区群已经成为一个小型社会,可通过用户浏览所留下的“虚拟痕迹”和发布的用户生成内容提炼出与用户相关的隐私类型资源。根据隐私类型资源自身的特性,可将其分类为数据资源、信息资源和知识资源,三者构成了用户的数据信息知识与智慧图谱(DIKW图谱)。虚拟社区中的隐私类型资源有4个流通过程,即隐私资源的感知、存储、传输和处理;4个过程分别由3个参与方(用户、AI系统和访问者)单独或合作完成,3个参与方所拥有的隐私权包括知情权、参与权、遗忘权和监督权。通过明确3个参与方在4个流通过程中的隐私权范围,结合隐私价值保护,设计了匿名保护机制/风险评估机制和监督机制,用于构建一个虚拟社区隐私保护的AI治理法律框架。

With the popularity of virtual communities among network users,virtual community groups have become a small society,which can extract user-related privacy resources through the“virtual traces”left by users’browsing and user-generated content user published.Privacy resources can be classified into data resources,information resources and knowledge resources according to their characteristics,which constitute the data,information,knowledge,and wisdom graph(DIKW graph).There are four circulation processes for privacy resources in virtual communities,namely,the sensing,storage,transfern,and processing of privacy resources.The four processes are respectively completed by the three participants,the user,the AI system,and the visitor individually or in cooperation.The right to privacy includes the right to know,the right to participate,the right to forget,and the right to supervise.By clarifying the scope of privacy rights of the three participants in the four circulation processes,and combining the protection of privacy values,an anonymous protection mechanism,risk assessment mechanism and supervision mechanism are designed to build an AI governance legal framework for privacy protection of virtual communities.