Bill Huizenga (R-MI)

Deterring American AI Model Theft Act of 2026

H.R. 8283 · House bill International Affairs

A Republican bill with 2 Democratic cosponsors · See all 21 cosponsors

Last activity — Ordered to be Reported (Amended) by the Yeas and Nays: 43 - 0.

Introduced, nothing more yet

Formally proposed, and not yet handed to a committee.

Nearly every bill is sent to a committee within days. Introduction alone is not a sign of support, of momentum, or of any likelihood of passing — any member may introduce any bill.

Its path through Congress

  1. Introduced

What this bill would do

The Deterring American AI Model Theft Act of 2026 aims to protect United States national security and economic interests from foreign adversaries. It specifically targets "model extraction attacks" where entities attempt to steal technical features from closed-source, American-owned AI models. The bill seeks to identify, punish, and deter these attacks by entities of concern, such as those in the People's Republic of China or the Russian Federation. It mandates comprehensive assessments by the Secretary of State and the Secretary of Commerce to identify these threats. The legislation also establishes a public "AI Model Extraction Attackers List" to name offending individuals and entities. Finally, it provides the President with authority to impose sanctions and blocking of transactions against identified entities of concern.

Yes· 3 of 8

  • Scored +7

    Does this make patent and copyright rules fairer?

    The bill directly targets the theft of proprietary technical characteristics to protect intellectual property rights.

  • Scored +6

    Does this better protect the country from computer attacks?

    The bill protects against digital model extraction which is a component of broader cybersecurity and technical integrity.

  • Scored +6

    Would business owners be better off under this?

    The bill protects the proprietary interests and competitive edge of U.S. private sector companies.

The opposite

No question was scored the opposite.