House Panel Advances Bill to Codify Federal AI Standards Center
Bipartisan measure would authorize $20 million annually for renamed Commerce Department office, though funding debates continue.
The House Science, Space and Technology Committee voted unanimously Thursday to advance legislation that would formally establish a federal AI standards office within the Commerce Department's National Institute of Standards and Technology.
The bill, sponsored by Rep. Jay Obernolte, R-Calif., would codify what was previously known as the AI Safety Institute under the Biden administration, renaming it the Center for AI Security and Innovation. The measure would authorize $20 million per year for the center from fiscal 2027 through 2032, though lawmakers signaled that funding level remains under discussion.
Funding debate deferred
Committee Chairman Brian Babin, R-Texas, acknowledged the authorization amount may need adjustment before floor consideration. Congress appropriated up to $10 million for the center in fiscal 2026.
Obernolte initially offered an amendment to increase annual funding to $100 million, calling the bill's current level "insufficient" given the center's responsibilities. He withdrew the proposal after noting uncertainty about precise resource requirements.
"Unfortunately, I acknowledge that it is not possible right now to know exactly how much money is required to allow CAISI to do its job," Obernolte said. "I think when we finally get this bill ready for some floor action, we'll have a better idea of what the correct amount is."
He also withdrew an amendment that would have removed caps on hiring "critical technical experts" at the center.
Research infrastructure bill also advances
The committee voted 29-0 to approve separate legislation codifying the National AI Research Resource, established as a pilot program in 2024. That measure would create shared national infrastructure providing AI researchers and students access to computing resources, data and tools needed for AI development.
Obernolte noted concerns that escalating computational requirements for training AI models could concentrate advanced research exclusively within large companies with sufficient resources, potentially excluding academic institutions.
Broader AI framework in development
The California Republican is also working with Rep. Lori Trahan, D-Mass., on a comprehensive bipartisan AI framework that would combine the standards center and research resource provisions with preemption of state AI laws, frontier model safety requirements, and workforce impact monitoring.
The committee approved several additional AI-related measures Thursday, most on unanimous votes. These included bills directing NIST to develop guidelines for making federal data more accessible for AI training, establish programs for tracking AI vulnerabilities, and support standards for determining digital content origin.
One bill directing NIST to improve measurement of data center energy and water use sparked tension when Rep. Luz Rivas, D-Calif., said the majority threatened to pull the legislation if she offered an amendment addressing community impacts. She ultimately did not offer the amendment.
Why it matters
Codifying the AI standards center would provide statutory authority and stable funding for federal efforts to develop safety guidelines and testing protocols as AI systems become more powerful and widely deployed. The center's work on standards and evaluation could influence how both government agencies and private companies approach AI development and deployment, making its long-term resourcing a significant policy question. The debate over appropriate funding levels reflects ongoing uncertainty about the scope and scale of resources needed for effective AI governance.
These details were first reported by Roll Call.
This is an original analysis by the Omega editorial team. Source reporting: AI Watch.
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