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生成式人工智能对个人信息权益的侵害风险及其法律规制

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生成式人工智能的开发与应用可分为"海量数据的收集""海量数据的训练""模型的重复迭代"以及"模型的应用"四个阶段.生成式人工智能的开发模式可分为"独立开发模式""用户参与模式"以及"开源提供模式"三种.生成式人工智能对个人信息权益的侵害风险主要包括:个人信息的非法收集与处理、已公开个人信息的不合理使用、用户生成信息的非法再处理以及个人信息泄露或非法保留.相应的规制路径可基于以下两个方面展开:在宏观上,应坚持包容审慎监管理念以及敏捷治理理念;在微观上,具体的规制方案应着眼于生成式人工智能的不同开发模式,明确不同主体的个人信息合规处理要求以及应承担的个人信息保护义务.
The Risks of Infringement of Personal Information Rights and Interests by Generative Artificial Intelligence and Its Legal Regulation
The development and application of generative AI can be divided into four phases:"massive data collection","massive data training","repeated iteration of the model",and"application of the model"."application of the model".The development mode of generative AI can be divided into three modes:"independent development mode","user participation mode",and"open source provision mode".The risks of infringement of personal information rights and interests by Generative AI mainly include illegal collection and processing of personal information,unreasonable use of disclosed personal information,illegal reprocessing of user-generated information,and leakage or illegal retention of personal information.The corresponding regulatory path can be based on the following two aspects:at the macro level,the concept of inclusive and prudent regulation and the concept of agile governance should be adhered to.At the micro level,the specific regulatory scheme should focus on the different development modes of generative AI,and clarify the compliance requirements for handling personal information and the personal information protection obligations of different entities.

generative artificial intelligence(AI)personal information protectioninformed consentreasonable usesafety and security obligations

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北京航空航天大学法学院,北京 100191

生成式人工智能 个人信息保护 知情同意 合理使用 安全保障义务

国家社会科学基金重大项目国家社会科学基金重大项目中央高校基本科研业务费专项

16ZDA07517VHJ001YWF-21-BJ-W-204

2024

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中国人民银行郑州培训学院

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CHSSCD北大核心
影响因子:0.904
ISSN:1674-747X
年,卷(期):2024.42(2)
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