Providing a foundation for interpretable autonomous agents through elicitation and modeling of criminal investigation pathways

Cognitive task analysis conducted to understand how criminal intelligence analysts question data as they sought to retrieve information to advance their investigations, specifically how questions lead to insights that triggered subsequent inquiries. Researchers interviewed four criminal intelligence analysts to generate an event tree simplified into a graph that serves as a foundation for transparant artificial intelligence autonomous investigations.