暨南学报(哲学社会科学版)

作者：徐实

单位：北京航空航天大学法学院。

关键词：平台,技术措施,人工智能,知识隐私,版权

基金：国家社会科学基金重大项目“新一代生成式人工智能发展的法治问题研究”(24&ZD135)。

以DeepSeek为代表的人工智能技术快速迭代赋予了平台全方位、全链条、全时段的监控、分析、预测以及自动控制的能力,极大提升了内容管理与版权保护的效能。然而,在版权优位主义思潮影响下,平台权力扩张现象愈发显著,其通过建构私秩序,实施过度执法,对用户知识隐私造成严重威胁。知识隐私是个体知识探索过程中不被监视或干扰的权利,既是个人自主发展与人格尊严的基础,也是言论自由的条件,兼具隐私权与个人信息权益的双重属性。为有效保障知识隐私权益,应构建知识隐私友好型协同治理框架,通过层级化规则体系制衡平台支配地位;将知识隐私保护理念嵌入技术架构,矫正平台不当支配行为;建立复合型整全式监管机制,对平台实施系统性规制。"/>template{display:none;}.mag-rich-xref-fn { cursor: pointer;}//长视频$(document).ready(function(){if($("#showLongArticleVideo") && $("#showLongArticleVideo").length && $("#showLongArticleVideo").length>0){mag_ajax_update({ele_id:'showLongArticleVideo',url:mag_currentQikanUrl() + "/CN/article/showLongArticleVideo.do?id="+$("#articleId").val()});}});$(document).ready(function(){window.metaData = {"journal":{"issn":"1000-5072","qiKanMingCheng_CN":"暨南学报（哲学社会科学版）","id":2,"qiKanMingCheng_EN":"Jinan Journal"},"fundList_cn":["国家社会科学基金重大项目“新一代生成式人工智能发展的法治问题研究”(24&ZD135)。"],"article":{"keywordList_cn":["平台","技术措施","人工智能","知识隐私","版权"],"juan":"47","zhaiyao_cn":"以DeepSeek为代表的人工智能技术快速迭代赋予了平台全方位、全链条、全时段的监控、分析、预测以及自动控制的能力,极大提升了内容管理与版权保护的效能。然而,在版权优位主义思潮影响下,平台权力扩张现象愈发显著,其通过建构私秩序,实施过度执法,对用户知识隐私造成严重威胁。知识隐私是个体知识探索过程中不被监视或干扰的权利,既是个人自主发展与人格尊严的基础,也是言论自由的条件,兼具隐私权与个人信息权益的双重属性。为有效保障知识隐私权益,应构建知识隐私友好型协同治理框架,通过层级化规则体系制衡平台支配地位;将知识隐私保护理念嵌入技术架构,矫正平台不当支配行为;建立复合型整全式监管机制,对平台实施系统性规制。","endNoteUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=EndNote&id=7204","reference":"","bibtexUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=BibTeX&id=7204","abstractUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/10.11778/j.jnxb.20240366","qi":"4","id":7204,"nian":2025,"bianHao":"1751353165021-1422580699","zuoZheEn_L":"XU Shi","juanUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2025","shouCiFaBuRiQi":"2025-07-01","qiShiYe":"45","qiUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2025/V47/I4","lanMu_cn":"数字治理","pdfSize":"911","zuoZhe_CN":"徐实","risUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=Ris&id=7204","title_cn":"平台用户知识隐私的法律保护路径:以DeepSeek式人工智能为中心","doi":"10.11778/j.jnxb.20240366","jieShuYe":"66","keywordList_en":["platforms","technical measures","AI","intellectual privacy","copyright"],"endNoteUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=EndNote&id=7204","zhaiyao_en":"The rapid development of AI technologies represented by DeepSeek has empowered platforms with comprehensive capabilities for monitoring, analyzing, predicting, and automatically controlling content, significantly enhancing content management and copyright protection efficiency. Existing research primarily focuses on how platforms' copyright protection technical measures affect fair use systems, while overlooking their impact on users' intellectual privacy. This paper systematically examines the tension and coordination mechanisms between platform copyright protection measures and users' intellectual privacy.This paper adopts a theoretical analysis and takes Professor Richards' “intellectual privacy” theory as the core framework. Combined with domestic and international data and privacy protection theories, this paper explores the jurisprudential foundation of intellectual privacy protection in China and analyzes its rights structure. This paper argues that intellectual privacy, as the right of individuals not to be monitored or interfered with during intellectual exploration, possesses a composite legal interest structure: It is not only a derivative safeguard for freedom of speech but also embodies attributes of both privacy rights and personal information rights. Under the copyright supremacy, platform technical measures infringe upon intellectual privacy through three dimensions: continuous monitoring causing legal flaws; AI technology intervention creating derivative risks; and automated enforcement leading to remedy imbalance. These conflicts stem from the “bias” in copyright law's internal rules and platform power expansion. Platforms achieve power ascendancy and transform into “quasi-sovereigns” in digital space by leveraging technological advantages, bargaining power, dominant positions, and procedural exemptions.Based on the “nested protection” theory of intellectual privacy, this paper proposes constructing an intellectual privacy-friendly collaborative governance framework. First, it is necessary to establish a hierarchical rule system to limit the excessive expansion of technical measures, formulate tiered protection rules for intellectual privacy, and improve rapid complaint-handling mechanisms. Second, it is necessary to embed intellectual privacy protection concepts into technical architecture, design privacy-first default rules, and introduce technologies such as zero-knowledge proofs and privacy computing to support user-controlled data management. 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It enriches theoretical discussions in the cross-protection field of intellectual privacy and intellectual property rights, expands understanding of copyright enforcement efficiency and user intellectual privacy rights protection, and offers theoretical support for improving digital platform regulation, optimizing copyright protection technical measures, and safeguarding users' intellectual privacy rights.","bibtexUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=BibTeX&id=7204","abstractUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/10.11778/j.jnxb.20240366","zuoZheCn_L":"徐实","juanUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2025","lanMu_en":"","qiUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2025/V47/I4","zuoZhe_EN":"XU Shi","risUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=Ris&id=7204","title_en":"Legal Protection Paths for Platform Users' Intellectual Privacy: Centering on DeepSeek","hasPdf":"true"},"authorNotes_cn":["徐实,北京航空航天大学法学院。"]};if(window.metaData && (!window.metaData.authorNotesCommon_cn && !window.metaData.authorNotesCorresp_cn && window.metaData.authorNotes_cn)){window.metaData.authorNotesCommon_cn = window.metaData.authorNotes_cn;}if(window.metaData && (!window.metaData.authorNotesCommon_en && !window.metaData.authorNotesCorresp_en && window.metaData.authorNotes_en)){window.metaData.authorNotesCommon_en = window.metaData.authorNotes_en;}var _nlmdtdXml = $("#article_nlmdtdXml").val();var magDir = _nlmdtdXml.replace(/\/[^\/]+$/,'');window.metaData.magDir = magDir;new mag_vue({ el: '#metaVue', //dataUrl: mag_currentQikanUrl() + '/EN/article/getRichHtmlJson.do?articleId='+$("#articleId").val(), data:window.metaData, loading:true, doTextFun:function(text){ return doDataJsonText(text); 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