Latest action: Referred to the House Committee on Science, Space, and Technology.
Referred to one or more standing committees for review, hearings, and possible markup.
Specific committees not parsed from action data.
The committee may hold hearings, amend the bill, or let it die without action.
Next: Reported
Full chamber floor — Speaker / Majority Leader controls scheduling
Establishes a program to evaluate advanced artificial intelligence applications for nuclear security purposes.
The problem
The U.S. needs to evaluate how artificial intelligence can improve nuclear security operations and decision-making within the Department of Energy.
The proposal
Creates the Advanced Artificial Intelligence Nuclear Evaluation Program under the National Nuclear Security Administration to test and assess AI technologies for nuclear applications.
The impact
Department of Energy officials, nuclear security professionals, and AI researchers will participate in developing and testing new AI systems for national security purposes.
AI systems could help detect threats faster and improve monitoring of nuclear facilities. This could make the country's nuclear weapons and materials safer from unauthorized access.
Developing AI applications for nuclear security keeps the U.S. competitive in advanced technology. It supports innovation in a critical national security area.
AI tools could help analysts process large amounts of information faster and more accurately. This supports better and quicker decisions about nuclear security.
The program could provide funding and support for scientists and engineers working on cutting-edge AI technology in the nuclear field.
AI systems connected to nuclear facilities could become targets for hackers. A successful attack could cause serious problems with nuclear security systems.
Building and testing new AI programs requires significant funding and resources. The costs to taxpayers are unclear and could be substantial.
Over-reliance on AI systems for nuclear decisions removes human oversight from critical security choices. Errors in AI could have serious consequences.
The bill provides limited information about specific program goals, budget, or oversight mechanisms. This makes it hard to evaluate the full impact.
Generated by AI from the bill text. Not a prediction and not legal or policy advice. The percentage is the model's own rating of each item — self-reported, and not a measure of how accurate it is.
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Individual contributions, grouped by employer · FEC
Where their individual donors work · 2026 cycle
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Itemized individual contributions via FEC, grouped by the employer each contributor self-reported. Companies and unions cannot contribute to federal candidates from their treasuries, so these totals are money from people who work at an employer — never from the organization itself. They are campaign contributions covering a full election cycle and are not connected to this bill.
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