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
Creates workforce development programs to build trust in artificial intelligence systems.
The problem
AI technology is advancing rapidly, but there may be insufficient trained workers who understand how to develop trustworthy and safe AI systems responsibly.
The proposal
Establishes education and training initiatives to prepare workers for AI careers, likely including funding, curriculum development, and partnerships with educational institutions.
The impact
Students, workers seeking new careers, educators, tech companies, and research institutions gain opportunities and resources to develop AI expertise and build public confidence.
Develops training programs that prepare Americans for high-paying AI careers. Addresses growing demand for skilled workers in technology sector.
Trains professionals in ethical AI development and responsible practices. Helps ensure AI systems are developed with safety and fairness considerations.
Invests in schools and training institutions to teach AI literacy. Prepares students for future workforce needs in emerging technology.
Develops domestic talent pool to compete with other countries in AI development. Reduces reliance on foreign workers for advanced AI positions.
May require significant federal funding and taxpayer investment. Budget impact depends on program scope and duration.
Success depends on quality curriculum design and effective partnerships. May face delays or inefficiencies in program rollout.
Bill title mentions 'trust' but specifics on what constitutes trustworthy AI are not detailed. May lead to varying interpretations of program goals.
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
Money from people who work there, not from the company. Not tied to this bill.
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.
Senate LDA lobbying disclosures
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