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人工智能赋能档案治理现代化:情境转向、体系创新与路径构建

AI-Powered Archival Governance:Contextual Shifts, Systemic Innovations, and Pathway Construction

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【作者】 杨靖尚小雨

【Author】 Yang Jing;Shang Xiaoyu;

【机构】 安徽大学管理学院

【摘要】 人工智能正全方位、多维度赋能档案治理,推动档案治理情境的现代化转型,促成了系统性、立体化、协同性的档案治理体系。从技术情境、政策情境和需求情境三方面探究人工智能背景下档案治理的情境转向,分析了人工智能如何从治理主体、治理客体、治理本体、治理流程、治理格局五方面优化档案治理体系,并提出从战略治理、生态治理、文化治理三个维度重构人工智能背景下档案治理的路径模式以实现档案治理现代化。

【Abstract】 Artificial intelligence is comprehensively and multidimensionally empowering archival governance, driving the modernization shift of archival governance scenarios, and has resulted in a systematic, three-dimensional, and synergistic archival governance system. This paper explores the situational shift of archival governance in the context of artificial intelligence from three perspectives: technological context, policy context, and demand context. It analyzes how artificial intelligence optimizes the archival governance system from five aspects: governance subjects, governance objects, governance essence, governance processes, and governance patterns, and proposes reconstructing the path model of archival governance in the context of artificial intelligence from three dimensions of strategic governance, ecological governance, and cultural governance to achieve modern archival governance.

  • 【文献出处】 浙江档案 ,Zhejiang Archives , 编辑部邮箱 ,2024年12期
  • 【分类号】G270.7;TP18
  • 【下载频次】113
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