技术向善与制度重构:生成式人工智能背景下个人信息删除权的保护路径OACHSSCD
Technology for good and institutional reconstruction:protection path of right to erasure in context of generative artificial intelligence
生成式人工智能技术的革新在重塑社会生产模式的同时,亦引发了个人信息删除权保护的深层危机.现行法律框架与既有技术手段在应对生成式人工智能特有的自主生成、迭代创新、技术融合等特性时呈现失灵状态,具体表现为个人信息难以定位、删除效果悖论、个人信息删除标准模糊、删除义务激励不足和告知同意规则虚置.个人信息不仅具有财产利益属性,而且暗含人格权属性,故在生成式人工智能广泛应用的背景下,有必要进一步关注对个人信息删除权的保护.基于生成式人工智能数据处理机制构建数据全生命周期治理框架:数据输入环节构建双同意规则与数据信托审查机制,确保个人信息来源合法;模型训练环节全面落实风险评估与分级监管策略,降低数据安全风险;数据输出环节明确技术性删除标准的法律效力,解决法律规定不一致问题.在加强数字时代个人信息保护的同时,为平衡技术创新与权利保护提供可操作的制度范式.
The reformation of generative artificial intelligence(AI)technology is reshaping social production modes while also triggering a profound crisis in the protection of the right to erasure.The existing legal framework and technical means are inadequate when dealing with the unique characteristics of generative AI,such as autonomous generation,iterative innovation,and technology integration.This inadequacy manifests in several ways of the difficulty in locating personal information,the paradox of erasure effectiveness,the ambiguous criteria for the erasure of personal information,the insufficient incentives for erasure obligations,and the ineffectiveness of the notice and consent rule.Personal information not only has the attribute of property interests,but also implies the attribute of personality rights,so it is necessary to pay more attention to the protection of the right to erasure in the context of widespread application of generative AI.Based on the data processing mechanism of generative AI,this paper constructs a data lifecycle governance framework:the data input phase involves establishing dual-consent rules and a data trust review mechanism to ensure the legality of personal information origins;during the model training phase,comprehensive implementation of risk assessment and tiered supervision strategies is required to mitigate data security risks;in the data output phase,it is essential to clarify the legal validity of technical erasure standards and address inconsistencies in legal regulations.While enhancing personal information protection in the digital era,this framework offers an operable institutional paradigm for balancing technological innovation and right protection.
毛春晓;谭现军
安徽财经大学 法学院,安徽 蚌埠 233030安徽财经大学 法学院,安徽 蚌埠 233030
社会科学
生成式人工智能个人信息删除权数据治理告知同意
generative artificial intelligenceright to erasuredata governanceinformed consent
《沈阳工业大学学报(社会科学版)》 2026 (2)
91-97,7
安徽省哲学社会科学规划青年项目(AHSKQ2023D010).
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