AI Caucus Co-Chair Beyer Response to Trump’s Latest AI Executive Order

Congressman Don Beyer (D-VA), co-Chair of the bipartisan Congressional Artificial Intelligence Caucus, today issued the following statement on President Trump's executive order asking artificial intelligence companies to provide the federal government with early access to models on a voluntary basis:

"The risks posed by frontier AI models and their advanced cyber capabilities are real and demand serious attention, but this executive order falls short of providing a credible framework to manage those risks. As it is written, this order continues to allow companies to release powerful models to the public without undergoing meaningful evaluation or review. This largely voluntary and classified approach is simply not sufficient.

"Equally concerning is absence of clear guidance on how identified threats would be addressed. While this order creates channels to surface potential risks, it fails to define procedures for responding to them once identified. It also opens the door to redirecting existing federal grant funding toward AI vulnerability efforts without clear safeguards or accountability.

"This is underwhelming policy that mirrors the Trump Administration's broader pattern of creating a wild west environment for AI development, rather than ensuring safe and responsible governance to protect the American public."

Rep. Don Beyer (D-VA) serves as co-Chair of the Congressional Artificial Intelligence Caucus. He was one of a handful of members selected to serve on the bipartisan Task Force On Artificial Intelligence, convened by House Democratic Leader Hakeem Jeffries and Speaker Mike Johnson. He is the author of the AI Foundation Model Transparency Act and a lead cosponsor of the CREATE AI Act, the Federal Artificial Intelligence Risk Management Act, and the Artificial Intelligence Environmental Impacts Act.

Beyer previously served for eight years on the House Committee on Science, Space, and Technology, and is currently attending George Mason University as a part time student pursuing a master's degree in machine learning, in part to help inform his work on AI in Congress.