The sheer volume and complexity of data facing defense and intelligence analysts today demands innovative solutions. LLMs offer a compelling opportunity to automate sensemaking, enhance situational awareness, and ultimately accelerate decision-making. However, their application in this sensitive domain presents unique challenges related to data bias, security, and the need for rigorous verification and validation. This panel will delve into both the exciting opportunities and critical challenges of LLM-driven information fusion.

Panelists:
Genshe Chen
Yu Chen
Erik Blasch
Laurie Fenstermacher
Aleksey Panasyuk
Simon Khan
Lynne Grewe

 

This panel is part of the Signal Processing, Sensor/Information Fusion, and Target Recognition conference.

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Event Details

FORMAT: Panel discussion followed by audience Q&A.
MENU: Coffee, decaf, and tea will be available in the exhibition area.
SETUP: Classroom and theater style seating.

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