理论探讨

数智时代的情报失误成因及规避策略研究

  • 王渊洁 ,
  • 王秉
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  • 1中南大学资源与安全工程学院长沙410083;2中南大学安全理论创新与促进研究中心长沙410083;3中南大学安全科学与应急管理研究中心长沙410083)
王渊洁,男,1996年生,中南大学资源与安全工程学院博士研究生。 王秉,男,1991年生,中南大学资源与安全工程学院教授,博士生导师。

网络出版日期: 2025-02-18

基金资助

本文系湖南省教育科学“十四五”规划研究基地(教育舆情与风险防控研究基地)课题“数智赋能教育舆情风险智能精准防范化解体系和能力
建设研究”(项目编号:XJK24AJD020)、中南大学“高端智库”项目“数智赋能国家安全风险智能精准防范化解的机制与路径研究”(项目编号:2024znzk01)的研究成果之一。

Research on the Causes and Avoidance Strategies of Intelligence Failure in the Data-intelligenceEra

  • Wang Yuanjie ,
  • Wang Bing
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  • 1School of Resources & Safety Engineering, Central South University, Changsha,410083;2Safety & Security Theory Innovation and Promotion Center (STIPC), Central South University, Changsha,410083;3Safety & Security Science and Emergency Management Center, Central South University, Changsha,410083)

Online published: 2025-02-18

摘要

[目的/意义]数智时代的情报失误是情报工作失败的重要原因,数智时代的情报失误成因及规避策略研究具有重要的理论与现实意义。[方法/过程]首先,论述数智时代对情报工作的影响,并提出数智时代的情报失误。其次,从多层面分析数智时代的情报失误成因。最后,构建并解析数智时代的情报失误规避策略体系。[结果/结论]数智时代的情报失误成因主要包括情报主体、情报技术和情报环境3个层面的诸多因素。针对数智时代的情报失误成因,提出10条情报失误规避策略。

本文引用格式

王渊洁 , 王秉 . 数智时代的情报失误成因及规避策略研究[J]. 情报资料工作, 2025 , 46(1) : 50 -56 . DOI: 10.12154/j.qbzlgz.2025.01.005

Abstract

[Purpose/significance] Intelligence Failure (IF) in the data-intelligence era is a significant contributor to the failure of intelligence operations. Therefore, it is of great theoretical and practical significance to study the causes and avoidance strategies of IF in the data-intelligence era. [Method/process] Firstly, the influence of the data-intelli⁃gence era on intelligence operations was discussed and IF in the data-intelligence era was presented. Secondly, the causes of IF in the data-intelligence era were analyzed from multiple perspectives. Finally, a system of avoidance strat⁃egies for IF in the data-intelligence era was constructed and analyzed. [Result/conclusion] The results show that the causes of IF in the data-intelligence era mainly involve various factors at three levels: IF subjects, IF technologies and IF environments. In response to the causes of IF in the data-intelligence era, ten avoidance strategies for IF are pro⁃posed.
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