The Controllability Trap: A Governance Framework for Military AI Agents

Researchers propose the Agentic Military AI Governance Framework (AMAGF) to address control failures in autonomous military AI systems. The framework introduces a Control Quality Score (CQS) to continuously measure and manage human control over AI agents throughout operations, moving beyond binary control models.