The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process
This addresses the challenge of improving military intelligence analysis efficiency and accuracy for defense and security applications, but it is incremental as it builds on existing AI techniques like text search, summarization, and NER.
This study tackled the problem of how AI can enhance military intelligence analysis by developing and evaluating an AI demonstrator called deepCOM, which showed that using AI functions under time pressure led to assessments clearly superior to a control group, though it did not increase analysts' confidence in their own analyses.
It is beyond dispute that the potential benefits of artificial intelligence (AI) in military intelligence are considerable. Nevertheless, it remains uncertain precisely how AI can enhance the analysis of military data. The aim of this study is to address this issue. To this end, the AI demonstrator deepCOM was developed in collaboration with the start-up Aleph Alpha. The AI functions include text search, automatic text summarization and Named Entity Recognition (NER). These are evaluated for their added value in military analysis. It is demonstrated that under time pressure, the utilization of AI functions results in assessments clearly superior to that of the control group. Nevertheless, despite the demonstrably superior analysis outcome in the experimental group, no increase in confidence in the accuracy of their own analyses was observed. Finally, the paper identifies the limitations of employing AI in military intelligence, particularly in the context of analyzing ambiguous and contradictory information.