Military Embedded Systems

AI to help bias detection for military analysts

News

December 27, 2019

Emma Helfrich

Technology Editor

Military Embedded Systems

CAMBRIDGE, Mass. Charles River Analytics Inc., developer of intelligent systems solutions, has partnered with Raytheon BBN to develop bias detection and credibility reporting tools for military analysts, who must quickly understand the value of data.

The company is applying its systemic functional grammar toolkit and linguistic feature-based machine learning approach to bias classification for the Defense Advanced Research Project Agency’s (DARPA) Causal Exploration program.

Military analysis and credibility assessment is currently a subjective and manual process, limited by the reading rate of the analyst. Recently, evolving adversary actions require military analysts to adopt new approaches to identify systemic, wide-spread bias.

As the Causal Exploration program develops a modeling platform to help military analysts understand and address underlying causal factors that drive complex conflict situations, bias and reliability detection is critical in understanding what information to include and how to understand it in context.

 

 

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Charles River Analytics

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Raytheon Company

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