Using Artificial Intelligence to Minimize Information Overload and Cognitive Biases in Military Intelligence
Abstract
Information overload and cognitive biases are two challenges analysts face in the quest to produce timely intelligence. In today's digital world, analysts have access to more information than their human brains can process. Analysts draw on their personal experiences, training, and intuition to interpret the meaning of information. Analysts' judgments are susceptible to cognitive bias that can skew the intelligence process. Leveraging artificial intelligence to process data and analyze information provides analysts more time to synthesize knowledge and build situational understanding of the operational environment. A scenario development methodology explores two common tasks intelligence analysts perform and explores opportunities for integrating artificial intelligence. Machines can process data and analyze information quickly and indiscriminately. Analysts apply meaning to the patterns extrapolated by artificial intelligence and evaluate implications for the operations. The analysts' experiences, training and expertise, and knowledge of the mission help the analysts make determinations on how and why the information matters. Analysts incorporate knowledge into the planning process to fuel the commander's situational understanding. Synthesized knowledge enables the commander to synchronize actions in time, space, and purpose.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 24, 2018
- Accession Number
- AD1071764
Entities
People
- Elizabeth M. Marlin
Organizations
- School of Advanced Military Studies