Cybersecurity Policy Report, House Bill Would Direct NIST to Assess AI Autonomy, Self-Improvement, (Sep 2, 2026)
The National Institute of Standards and Technology would be empowered to assess whether an AI (artificial intelligence) model might be capable of self-improvement or autonomous behavior under bipartisan House legislation.
The Self-Improving AI Monitoring Act (H.R. 10180, 119th Cong. (2026)) was introduced by Reps. George Whitesides (D., Calif.) and Pat Harrigan (R., N.C.). It would direct NIST’s Center for AI Standards and Innovation (CAISI) to assess the “capabilities of artificial intelligence systems ... to autonomously facilitate or conduct research on or development of an artificial intelligence system,” according to its text.
The bill would direct CAISI “to monitor capability trends, specifically how AI systems autonomously research and develop subsequent AI models,” the lawmakers said in a news release.
“Last month, an AI system broke out of its testing environment during an internal evaluation and autonomously compromised a third party’s production systems—an episode no federal agency had advance visibility into,” they noted, referring to an OpenAI model that hacked into a rival developers’ systems.
“Today, the U.S. government has no reliable way to track how fast these internal capabilities are accelerating, or when they make a sudden, dramatic leap,” they warned.
“Just in the past few months, we have seen AI systems break out of their testing environments and threaten the security of entire systems,” Rep. Whitesides said. “When you take humans out of the driver’s seat and let machines train machines, small glitches can snowball into major security risks fast.”
“Today, Washington is essentially flying blind on how fast this handoff is happening,” he added. “This legislation ensures that when frontier labs partner with federal evaluators, we understand who is actually training and improving these models.”
News: FederalLegislation DataSecurity AINews