Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.03610 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910959362113536 |
|---|---|
| author | Nitzl, Christian Cyran, Achim Krstanovic, Sascha Borghoff, Uwe M. |
| author_facet | Nitzl, Christian Cyran, Achim Krstanovic, Sascha Borghoff, Uwe M. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_03610 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process Nitzl, Christian Cyran, Achim Krstanovic, Sascha Borghoff, Uwe M. Artificial Intelligence Human-Computer Interaction 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. |
| title | The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process |
| topic | Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2412.03610 |