US Congress Advances Bill to Boost Domestic Open-Source AI

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US Congress Advances Bill to Boost Domestic Open-Source AI

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The U.S. House Subcommittee on Commerce, Manufacturing, and Trade recently approved H.R. 10152, also known as the Open-Source AI Leadership Act. This legislation aims to bolster the adoption of American open-source AI models and raise awareness about potential risks associated with using open-source models from foreign adversaries, particularly China. The bill has been sent to the full committee for further consideration.

The move comes as Chinese open-source AI models have seen significant global adoption, with over 328 million downloads in a single month, more than double the downloads of their American counterparts. While leading U.S. systems from companies like OpenAI and Anthropic often remain closed-source, Chinese technology companies have gained a strong market position by releasing open-weight models.

The Open-Source AI Leadership Act, introduced by Republican Congressman Gabe Evans, directs the U.S. Department of Commerce to establish a central point of contact. This entity will identify barriers to the use of American open-source models and foster partnerships with domestic companies, public institutions, and allied nations. Within 18 months of the law’s enactment, the department will be required to report data on censorship practices in Chinese-origin models, supply chain vulnerabilities, and security risks. The bill emphasizes prioritizing security without imposing market restrictions, stating that its provisions do not grant authority to directly ban or restrict commercial open-source AI models.

Concerns surrounding Chinese open-source AI models include potential intelligence collection, supply chain poisoning, and the ability for malicious actors to exploit models with weaker safety guardrails. Chinese models are subject to China’s National Intelligence Law, which could require companies to cooperate with government national security investigations. Despite these concerns, some in the tech industry advocate for open AI systems, citing their benefits for cybersecurity, innovation, and lowering barriers to entry.

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