Pentagon slashes team responsible for testing Artificial Intelligence and weapons systems

The Department of Defense is halving its office that verifies the safety of weapons and Artificial Intelligence systems, raising concerns over independent oversight and battlefield readiness.

The Pentagon has moved to drastically reduce the Office of the Director of Operational Test and Evaluation, which historically serves as the military’s final check on weapons and Artificial Intelligence systems before they reach wide deployment. Secretary of Defense Pete Hegseth announced the layoff of half the office´s staff, dropping headcount from 94 to 45, and removal of its director, providing merely a week to implement these sweeping changes. The decision is framed as a drive to cut bureaucracy and accelerate the deployment of new technology—particularly as the Department of Defense aims for ´increased lethality.´

The office, originally founded in the 1980s due to congressional concerns over the safety and efficacy of Pentagon technology, was seen by experts as a crucial independent body to minimize waste, fraud, and abuse. It enforced rigorous real-world testing beyond what contractors and technology providers claimed. With defense technology companies, including those developing Artificial Intelligence systems, building closer relationships with the administration, critics argue that the shake-up signals a shift away from impartial oversight in favor of industry expediency.

This move comes at a critical juncture, with the military rapidly exploring the integration of Artificial Intelligence, including large language models, into its operations. Firms like Anduril are landing billion-dollar contracts to deliver such technology, while mainstream Artificial Intelligence leaders increasingly collaborate with the military. Experts, including former testing office collaborators, warn that although testing can slow technological rollout, bypassing or diluting it may increase the risk of fielding unproven or unsafe systems. The office now faces the challenge of maintaining high standards for rapidly evolving and inherently unpredictable technologies, such as generative Artificial Intelligence, with significantly fewer resources.

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