A new Artificial Intelligence (AI) Diffusion interim final rule aims to balance AI advancement with national security goals. The regulation streamlines licensing hurdles for both large and small chip orders, bolsters U.S. AI leadership, and provides clarity to other nations about how they can benefit from AI. It also enhances existing chip control measures by addressing smuggling vulnerabilities, eliminating loopholes, and raising AI security standards.
Ultimately, the regulation seeks to bolster U.S. national security and foreign policy interests.
The rule lays out several mechanisms to catalyze the responsible diffusion of U.S. technology, including updating controls for advanced computing chips, and setting security standards to protect the weights of advanced closed-weight AI models, permitting them to be stored and used securely around the world while helping prevent illicit access.
Additionally, entities that meet high security and trust standards can obtain highly trusted “Universal Verified End User” (UVEU) status, under which they can place up to 7% of their global AI computational capacity in countries around the world—allowing responsible entities to expand rapidly and flexibly.
“The United States has a national security responsibility to preserve and extend American AI leadership, and to ensure that American AI can benefit people around the world. Today, we are announcing a rule that ensures frontier AI training infrastructure remains in the United States and closely allied countries, while also facilitating the diffusion of American AI globally,” said National Security Advisor Jake Sullivan during the framework announcement. “The rule both provides greater clarity to our international partners and to industry, and counters the serious circumvention and related national security risks posed by countries of concern and malicious actors who may seek to use the advanced American technologies against us.”
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