Testing and Evaluation of Agentic AI Systems In Military Command and Control

Research identifies significant challenges in the testing and evaluation (T&E) of agentic AI systems for military command and control (C2). Current T&E methodologies, which rely on assumptions about system specifiability, stability, composability, and supervisability, are undermined by the inherent properties of agentic AI. This weakness in the assurance case for these systems raises concerns about the feasibility of fulfilling public commitments to rigorous testing and human oversight.

The adoption of agentic AI in critical domains like military command and control is a significant technological and operational shift. Challenges in effectively testing and evaluating these systems could lead to unforeseen risks, operational failures, and undermine public trust in AI-driven decision-making, impacting national security and strategic stability.

Agentic AI systems are being acquired for military C2, with public commitments to rigorous testing and human oversight.

Forward consideration, not a verified fact.