| 徐彤阳,窦丽娟.GenAI背景下个人数据保护法律政策的中外比较研究与启示[J].数字图书馆论坛,2026,22(5):72~82 |
| GenAI背景下个人数据保护法律政策的中外比较研究与启示 |
| Comparative Study of Chinese and Foreign Personal Data Protection Laws and Policies in the Context of Generative Artificial Intelligence and its Implications |
| 投稿时间：2026-04-17 |
| DOI：10.3772/j.issn.1673–2286.2026.05.007 |
| 中文关键词: 生成式人工智能；个人数据保护；国际政策；PMC指数模型；量化评价 |
| 英文关键词: GenAI; Personal Data Protection; International Policy; The PMC Index Model; Quantitative Evaluation |
| 基金项目:本研究得到教育部人文社会科学研究规划基金项目“基于会话技术的智慧数据驱动图书馆知识服务模式研究”（编号：24YJA870014）资助。 |
| 作者 | 单位 | | 徐彤阳 | 山西财经大学信息学院 | | 窦丽娟 | 山西财经大学信息学院 |
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| 摘要点击次数: 33 |
| 全文下载次数: 35 |
| 中文摘要: |
| 在生成式人工智能（Generative Artificial Intelligence，GenAI）背景下，对中外个人数据保护法律政策进行量化评价与比较分析，可为我国强化GenAI应用过程中的个人数据风险治理能力提供有益借鉴。本研究利用隐含狄利克雷分布（Latent Dirichlet Allocation，LDA）主题模型对39份法律政策文本进行主题挖掘，结合现有研究成果，设计GenAI背景下个人数据保护法律政策评价体系，并运用政策一致性（Policy Modeling Consistency，PMC）指数模型对其中29份已实施法律政策文本进行量化评价，进而从政策功能定位、实施逻辑、体系完备性方面比较中国、美国、英国以及欧盟的政策差异。基于中外比较结果，本研究从兼顾安全与发展、强化敏捷治理模式、优化多元协同格局三个方面梳理总结对我国的启示，以期为提升我国GenAI背景下的个人数据保护水平提供参考。 |
| 英文摘要: |
| In the context of Generative Artificial Intelligence (GenAI), quantitative evaluation and comparative analysis of Chinese and foreign legal policies on personal data protection can provide valuable references for China to strengthen its capacity in governing personal data risks amid GenAI applications. This paper employs the Latent Dirichlet Allocation (LDA) model to extract topics from 39 legal and policy texts. Drawing on existing research, it constructs an evaluation system for legal policies on personal data protection in the GenAI era, and applies the Policy Modeling Consistency (PMC) index model to quantitatively assess 29 implemented policies from the samples. Furthermore, it compares policy differences among China, the United States, the
United Kingdom and the European Union in terms of policy functional positioning, implementation logic and system completeness. Based on the comparative findings, the paper distills implications for China from three perspectives: balancing security and development, advancing agile governance, and fostering multistakeholder coordination, so as to offer references for enhancing the level of personal data protection in China against the GenAI backdrop. |
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