large language models (LLMs)

The use of LLMs for foreign intelligence surveillance erodes the rules put in place to safeguard Americans' civil liberties.

The Pentagon’s new deals to deploy commercial LLMs on its classified networks provide it with a powerful surveillance capability that could be turned on Americans.

Like plastic, AI is permeating every corner of life. But there is still time to manage AI better than we did with synthetics.

As the Grok case demonstrated, AI harms will continue to unfold without trusted channels between governments, industry and civil society.

Policymakers and the private sector should work with civil society to ensure that the pursuit of “sovereign AI” does not undermine fundamental rights.

Generative AI is being integrated across the federal workplace, but efficiency gains risk weakening national security professionals’ critical thinking and judgment.

AI is a transformative force, poised to revolutionize how intelligence is collected, analyzed, and operationalized.

If the United States continues to frame AI primarily as a short-term sprint toward technical milestones, it risks falling behind global peers and adversaries.

Outdated U.S. copyright laws could inadvertently boost Beijing's tech ambitions and its approach to IP globally.

Brianna Rosen, Lennart Heim, Keegan McBride, & Lauren Wagner discuss what DeepSeek means for national security and U.S. policy going forward.

Beyond the hype, a crucial look at the real costs of China's DeepSeek, why compute still matters, and what US policymakers should do about it.

Critics of open source AI must consider the security implications of strategic competition with China.