可解释人工智能在档案领域的应用初探  

Exploring the Application of Explainable Artificial Intelligence in Archival Field

作　　者：李思艺 王振杰 陈子忆 Li Siyi;Wang Zhenjie;Chen Ziyi(School of Cultural Heritage and Information Management,Shanghai University,Shanghai,200444)

机构地区：[1]上海大学文化遗产与信息管理学院,上海200444

出　　处：《档案与建设》2025年第3期53-62,共10页Archives & Construction

基　　金：国家社科基金青年项目“面向数字政府建设的数字档案资源优化配置研究”(项目编号:23CTQ033)阶段性研究成果。

摘　　要：随着人工智能的飞速发展和广泛应用,技术在展现其强大功能的同时,与之相伴的应用风险也在不断凸显,令关于算法透明度及其衍生技术的可解释人工智能渐入研究视野。文章梳理了可解释人工智能的发展脉络,分析其应用于档案领域的可行性与必要性,并在理论分析的基础上,尝试提出三类可解释人工智能在档案领域的应用场景,即档案资政、档案开放审核、档案数据治理,以期丰富档案领域的技术研究视角。As artificial intelligence rapidly develops and finds widespread applications,it demonstrates powerful capabilities while also presenting significant risks.These concerns have brought algorithm transparency and explainable AI into the research spotlight.This paper traces the development of explainable AI and analyzes its feasibility and necessity in the archival field.Based on theoretical analysis,we propose three application scenarios for explainable AI in archival management:archives for political and public decision-making,open archive reviewing,and archival data governance.These scenarios aim to expand the technological applications within the archival field from new research perspectives.

关 键 词：可解释人工智能 档案资政 档案开放审核 档案数据治理 

分 类 号：G271[文化科学—档案学]