Title:
Playing Detective: Using AI for Sensemaking in Investigative Analysis
Playing Detective: Using AI for Sensemaking in Investigative Analysis
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Author(s)
Goel, Ashok K.
Adams, Summer
Cutshaw, Neil
Sugandh, Neha
Adams, Summer
Cutshaw, Neil
Sugandh, Neha
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Abstract
The sensemaking task in investigative analysis generates models that connect entities and
events in an input stream of data. We describe two knowledge systems for aiding sensemaking in
investigative analysis. The Spade system uses crime schemas to generate an explanatory hypothesis
and past cases to validate the hypothesis. The STAB system represents crime schemas as
hierarchical scripts with goals and states. It generates multiple explanatory hypotheses for an input
data stream containing interleaved sequences of events, recognizes intent in a specific event
sequence, and calculates confidence values for the generated hypotheses. We view STAB and Spade
as automated cognitive assistants to human analysts: they may support sensemaking in investigative
analysis by generating and managing multiple competing hypotheses.
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Date Issued
2009
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Text
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Technical Report