Open-Source AI Leadership Act
Summary, written by a model from the CRS summary
Requires Commerce to assess and publish the risks of open AI models from China, Iran, North Korea or Russia, and to report annually comparing them with U.S. open models. It also allows Commerce to take steps to support adoption of U.S. open AI models.
Model-rated AI relevance 95%: The bill directly sets AI governance policy on foreign open-weight models. (claude-opus-5-5, Oct 22, 2026)
Sponsored by
Gabe EvansRepublicanCOData as of: bills Oct 22, 2026 · votes Oct 21, 2026 · statements Oct 19, 2026. What changed
Progress
Introduced
Aug 27, 2026
Reported by committee
Sep 16, 2026
Passed House
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Passed Senate
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Became law
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Latest action · September 16, 2026
Ordered to be Reported by the Yeas and Nays: 26 - 21.
Recorded votes
Floor votes carry every member's position; committee tallies carry totals only.
What members said
Releases that cite this bill first, then releases on the same topics.
Evans promotes American open-source AI leadership against China while adding commonsense consumer guardrails and mandated federal risk assessments of adversary models.
Source ↗Jacobs argues Congress should pursue both AI innovation and safety guardrails, addressing societal, model, deployer, and impact-level risks rather than prioritizing speed over safety.
Source ↗Clarke reintroduced legislation requiring disclosure when generative AI is used in political advertising to protect election transparency.
Source ↗Gottheimer touted bipartisan AI bills balancing innovation leadership with safeguards like pre-deployment testing and human control over AI agents.
Source ↗Ricketts supports strengthening American AI innovation and export controls on chips to China while backing 'commonsense guardrails' for safety without stifling innovation.
Source ↗Tlaib introduces a bill to ban federal funding for AI-enabled mass surveillance and facial recognition technologies like Flock cameras.
Source ↗Ocasio-Cortez and colleagues urge the FAA to pause its AI air traffic management tool until safety testing, oversight, and accountability questions are answered.
Source ↗Blunt Rochester describes meetings with AI experts and OpenAI leadership to discuss national security threats and recent AI safety issues, without stating a specific policy position.
Source ↗Bill data read 2026-10-22T14:48:01.167Z