信息生态视角下AIGC技术对开源情报工作的影响及解决对策

Study on the Impact of AIGC on Open-Source Intelligence under the Perspective of Information Ecology and Its Solutions

在互联网时代,海量化、碎片化、未索引、无规则的数据信息分布在互联网各个角落,而这些亟待挖掘的数据信息具有极高的情报价值,如果将其加以分析和利用,能够为国家安全树立起牢固的保护墙。AIGC(人工智能生成内容)技术通过数据收集、数据预处理、模型训练、内容生成以及评估和细化等方式,使得情报收集和分析更加灵活和高效,该项技术的快速发展将会对开源情报工作产生深远影响。文章在信息生态视角下探讨了AIGC技术影响下开源情报工作的内在机制,发现AIGC技术可在一定程度上提高开源情报的预处理效率,并能拓宽情报获取渠道,但同时也存在信息失真的问题。基于此,建议应增强关于AIGC技术的开源情报的可靠性评估,全面提升情报产品质量,并引入AIGC技术作为开源情报工作的底层技术。

In the Internet era,massive,fragmented,unclassified,and irregular data are flooding all corners of the Internet.These data that need to be mined are of high intelligence value,and If utilized properly,they can serve as a solid protective wall for national security.AIGC technology makes intelligence collection and analysis more flexible and efficient through data collection,data preprocessing,model training,content generation,and evaluation and refinement,the booming of which will exert a far-reaching impact on open-source intelligence work.Therefore,the article explores the intrinsic mechanism of open-source intelligence under the influence of AIGC under the perspective of information ecology.It is found that AIGC can boost the preprocessing efficiency of open-source intelligence to a certain extent and expand the access to intelligence channels,but also lead to information distortion.Based on this,it is recommended to enhance the reliability evaluation of AIGC-assisted open-source intelligence,comprehensively improve the quality of intelligence,and introduce AIGC as the underlying technology for open-source intelligence.