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Description

This commentary explores how emerging autonomous command and control (C2) systems, powered by advanced machine learning and data-driven decision engines, are transforming military decision processes. The authors introduce the concept of an “agentic database,” a framework in which autonomous systems actively sense, assess, and act upon dynamic operational data to support or augment human command decisions. While these systems offer potential benefits in speed, situational awareness, and decision quality, they also raise critical questions about accountability, trust, human oversight, and strategic risk. Meaningful integration of autonomous C2 requires doctrinal clarity, clear ethical guidelines, robust verification, and continuous human-machine collaboration to ensure effective, responsible, and controlled use of these technologies in future joint and coalition operations.

Document Type

Article

Topic(s)

Emerging Science and Technologies, Defense Policy, National Security

Region(s)

United States, Global

Publication Date

11-17-2025

Keywords

autonomous command and control, agentic database, machine learning in military, AI decision support, human-machine teaming, C2 autonomy, military decision making, ethical AI governance, trust in autonomous systems, strategic risk, defense innovation, operational data systems, joint and coalition operations

The Agentic Database and Military Command: A Perspective on Autonomous C2 Systems

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