AI大模型时代出版内容数据保护的理据与进路  

The Rationale and Approach for Data Protection of Published Contents in the Era of AI Big

作　　者：叶悦 YE Yue(School of Intellectual Property,Zhongnan University of Economics and Law)

机构地区：[1]中南财经政法大学知识产权学院

出　　处：《出版与印刷》2025年第1期27-36,共10页Publishing & Printing

基　　金：国家社科基金重大项目“支持全面创新的知识产权制度体系构建研究”(编号23&ZD161)。

摘　　要：探讨AI大模型数据训练语境下出版内容数据保护问题,提出出版内容数据保护的多元路径,推进出版产业数智化转型。文章采取文献研究方法,分析AI大模型时代出版内容数据保护的多维价值,指出出版内容数据保护存在的多重困境,包括出版内容数据产权规范不明确、授权交易机制缺失、侵权判定困难、主体利益分配失衡。为推进出版产业数智化转型,提出完善建议:探索出版内容数据产权保护与行为规制路径,构建开放型的出版内容数据授权交易模式,设立可信可控的出版内容数据合规审查机制,优化出版内容数据参与者的利益分配。In the context of the development of the"artificial intelligence+"and"data element×"industries,promoting the protection of publishing data is of great significance for the development of the AI big model industry and the digital transformation of the publishing industry.In reality,AI big models use the published content data for free to conduct data training,which has caused damage to the interests of the publishing industry.The article explores the issue of published content data protection in the context of AI big model data training,proposes multiple paths for published content data protection,and aims to promote the digital transformation of the publishing industry.The research process is divided into three parts.Through literature review,clarify the multidimensional value of protecting the published content data in the era of AI big models;by analyzing the relevant legal provisions and cases,clarify the multiple challenges of data protection for the published contents in the era of AI big models;on this basis,multiple paths for protecting the published content data in the era of AI big models are proposed.Research has found that the value of protecting the published content data in the era of AI big models is specifically reflected in promoting the published content data to become an independent production factor,promoting the digital transformation of the publishing industry,and providing the high-quality datasets for training big model data.However,in reality,protecting the published content data faces multiple challenges,including the unclear property rights regulations for the published content data,the lack of the authorization transaction mechanism for the published content data,the difficulty in determining the infringement,and the use of the published content data by AI models.Moreover,the traditional publishing industry's profit distribution order has been impacted,resulting in an imbalance in profit distribution.Based on analysis,the article proposes suggestions for improving the protection of the

关 键 词：数智化转型 大模型数据训练 出版内容数据 数据保护 数据交易 

分 类 号：D92[政治法律—法学]