Research on artificial intelligence technology promoting the transformation of American intelligence work: optimization of intelligence production process (3)

Artificial intelligence technology promotes the optimization of intelligence production process: artificial intelligence technology realizes early warning of intelligence.

Data cannot reveal everything, such as opponents' decisions in a crisis. American intelligence scholar Jack Davis believes that early warning belongs to the field of intelligence analysis and is a prediction of the enemy's behavior, which requires continuous evaluation and improvement of the enemy's behavior. Some scholars believe that the way to achieve effective early warning is to construct indicator groups. However, due to the low success rate of intelligence early warning through strategic interaction behaviors such as concealing the truth, showing falsehood, and misleading thinking, the two key issues to be solved by intelligence early warning are the timeliness of early warning and the authenticity of early warning.

Take the knowledge discovery and dissemination project carried out by the U.S. Intelligence Advanced Research Projects Agency (IARPA) as an example. Through information extraction/clustering, natural language processing (NLP), social network analysis and other technologies, the project can help intelligence analysts learn from multiple Effectively obtain key early warning information from large heterogeneous data sources. At the same time, the KRNS project developed by the agency helps intelligence analysts overcome the cognitive bias of intelligence early warning analysis through artificial intelligence technologies such as knowledge discovery, neuroscience, decision theory, and data training.

To sum up, the automated intelligence and early warning system constructed by applying artificial intelligence technology can effectively improve the efficiency of intelligence and early warning, thus leaving sufficient room for decision-making.

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