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作 者:丁海斌 马超 Ding Haibin;Mac hao
机构地区:[1]广西民族大学科技史与科技文化学院
出 处:《档案管理》2025年第2期5-7,12,共4页Archives Management
基 金:国家社科基金西部项目“电子档案云管理体系及实现路径”(项目编号:23XTQ003)的阶段性研究成果。
摘 要:档案与人工智能结合,形成本文的研究对象:档案人工智能。档案人工智能包括基本原理与基本应用两个方面:一是人工智能作用于档案管理的基本原理为“机器逻辑管理原理”,它是“人工智能+档案”的档案管理原理,即计算机逻辑+档案管理逻辑的智能化档案管理原理,其基本应用涵盖档案管理全流程的逻辑管理环节;二是档案作用于人工智能的基本原理为“本地经验基础原理”,它是“人工智能+档案”的价值实现原理,即档案数据作为机器思维的原始经验基础应用于本地内容生成式人工智能大模型,成为本地人工智能大模型的基本经验来源,从而极大地挖掘出档案的潜在经验价值,使之通过与人工智能相结合成为人类开展各项实践活动的直接助手。The combination of Archives and artificial intelligence forms the research object of this paper-archive artificial intelligence.Archive artificial intelligence includes two fundamental aspects:principles and basic applications.The first is the basic principle of artificial intelligence's role in archive management,which is the'Machine logic management principle'.It is the archive management principle of'artificial intelligence+Archives',that is,the intelligent archive management principle of computer logic+archive management logic.Its basic applications cover the logical management links throughout the entire archive management process.The second is the basic principle of Archives'role in artificial intelligence,which is the'local experience foundation principle'.It is the value realization principle of'artificial intelligence+Archives',that is,the application of archive data as the original experience basis of machine thinking in local content generation artificial intelligence large models,becoming the basic experience source of local artificial intelligence large models,thereby greatly tapping the potential experience value of Archives and making them,through the combination with artificial intelligence,become direct assistants for humans to carry out various practical activities.
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