面向人工智能数据治理:档案领域的贡献空间与行动策略  

Data Governance for AI:Contribution Space and Action Strategies in Archival Field

作　　者：周文泓[1] 熊小芳 杨俊武 ZHOU Wenhong;XIONG Xiaofang;YANG Junwu(School of Information Resource Management,Renmin University of China,Beijing 100872)

机构地区：[1]中国人民大学信息资源管理学院,北京100872

出　　处：《山西档案》2025年第5期56-61,69,共7页Shanxi Archives

摘　　要：探讨档案领域在人工智能数据治理中的贡献空间与行动策略,旨在揭示档案领域高质量的数据资源、专业的管理方法及档案研究对人工智能数据治理发展的关键意义。通过分析国内外政策与实践案例,梳理档案在人工智能数据治理中的多元角色与作用路径。同时,研究了人工智能数据治理总体框架下档案领域的可拓展空间,进一步提出档案在人工智能数据治理行动中具有充分的参与空间及优势,未来可从强化数智转型布局、优化组织建设、深化学科支持、扩展规模化创新探索等方面充分融入人工智能数据治理中。This paper explores the contribution space and action strategies of the archival field in artificial intelligence(AI)data governance,aiming to reveal the critical significance of high-quality archival data resources,professional management methods,and archival studies in the development of AI data governance.By analyzing domestic and international policies and practical cases,the paper delineates the diverse roles and pathways of archives in AI data governance and examines the extendable potential of the archival field within the overall framework of AI data governance.It is further proposed that archives have sufficient participation space and advantages in the action of AI data governance.In the future,archives can be fully integrated into AI data governance by strengthening digital transformation planning,optimizing organizational structures,deepening subject support,and expanding large-scale innovative exploration.

关 键 词：人工智能 数据治理 档案资源 档案数据 

分 类 号：G270[文化科学—档案学]