AI Giants Work Hand-in-Hand With the Pentagon, Contracts Reveal
The Intercept sued to obtain records that reveal an intimate relationship between the military and OpenAI, Anthropic, Google, and xAI. The post AI Giants Work Hand-in-Hand With the Pentagon, Contracts Reveal appeared first on The Intercept .
The Department of Defense's contracts with AI giants Anthropic, Google, OpenAI, and xAI have exposed a previously undisclosed level of collaboration between the tech industry and the U.S. military. The agreements, valued at up to $200 million each, aim to develop artificial intelligence tools to enhance military capabilities in areas such as warfighting, decision-making, logistics, and intelligence.
Despite high-profile disputes over ethics and corporate power, the contracts reveal a deeper, more intimate relationship between the Pentagon and these AI firms.
The documents, obtained through a Freedom of Information Act lawsuit, show that these AI companies were not merely providing software, but were also expected to share sensitive data, offer briefings on military strategies and threats, and conduct training sessions with the armed forces. In return, the Pentagon would receive regular updates on the AI labs' progress and capabilities, as well as feedback on how their technologies could be better integrated into military operations.
This level of collaboration has raised questions about the extent to which AI firms are influencing how their technologies are used by the U.S. military. According to Sophia Goodfriend, a researcher at the Harvard Kennedy School, this partnership marks the first time the scope of cooperation between AI labs and the military has been made explicit.
The contracts also detail the two-way exchange of information, with both parties expected to contribute to the development and deployment of AI systems for military use. This collaboration extends to tabletop exercises and seminars, where engineers and policy experts from the companies work alongside military personnel to refine AI models and address real-world challenges in areas like intelligence analysis, cybersecurity, and autonomous systems.
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