Workforce for AI Trust Act
Summary
What This Bill Does
The Workforce for AI Trust Act would expand Federal education and workforce programs for trustworthy artificial intelligence. The National Science Foundation could fund interdisciplinary graduate and postdoctoral fellowships through universities, workshops, skills training, experiential learning, and professional-development supplements. The National Institute of Standards and Technology would have to create and periodically update an AI workforce framework describing work roles, tasks, knowledge, and skills; issue usage guidance; seek broad stakeholder input; assist NSF and the Office of Personnel Management; and publish the framework after submitting it to Congress.
Who Benefits and How
U.S. citizens, nationals, and lawful permanent residents pursuing trustworthy AI research could receive up to three academic years of graduate tuition, fees, and stipends or up to three years of postdoctoral salary, benefits, relocation, travel, and research support. Universities could receive NSF awards for fellowships and workshops. AI employers, education providers, Federal workforce managers, and trainees could use the NIST framework's common lexicon and skill descriptions to design jobs, curricula, credentials, and training. NSF scholarship administrators and OPM would receive NIST technical assistance for Federal AI workforce programs.
Who Bears the Burden and How
Universities seeking NSF fellowship awards must submit applications explaining their trustworthy-AI research, interdisciplinary integration, and dissemination plans, and must verify student or postdoctoral eligibility. The NSF Director must administer new awards and integrate diverse disciplines into AI merit review when practicable. NIST staff are required to develop, update, coordinate, publish, and report the workforce framework and to conduct stakeholder outreach, creating an administrative and implementation burden. Students without the specified U.S. citizenship or immigration status cannot receive the new fellowship support.
Key Provisions
- Authorizes NSF awards for interdisciplinary graduate and postdoctoral fellowships focused on trustworthy AI design, training, evaluation, and use.
- Expands NSF AI skills training, experiential learning, workshops, award supplements, and multidisciplinary merit-review participation.
- Requires NIST to create and periodically update an AI workforce framework with work-role, task, knowledge, and skill categories.
- Directs NIST to seek government, industry, education, laboratory, labor, and nonprofit input and support external use of the framework.
- Requires NIST to assist NSF and OPM, submit the framework to congressional committees, and publish it on the NIST website.
Evidence Chain:
This summary is generated from the full bill text using AI analysis. Expand "Detailed Analysis" below for identified beneficiaries/burden bearers with clause-level evidence links.
At a Glance
What This Bill Does
Expand NSF fellowships and multidisciplinary training for trustworthy artificial intelligence while requiring NIST to build and publish a common AI workforce framework, guidance, and Federal workforce assistance.
Key Policy Areas
Artificial Intelligence, Science and Technology, Education, Labor
Primary Purpose
Expand NSF fellowships and multidisciplinary training for trustworthy artificial intelligence while requiring NIST to build and publish a common AI workforce framework, guidance, and Federal workforce assistance.
Policy Domains
Section 3 and section 5304 - NIST AI workforce framework
Identified Gains
- Artificial intelligence employers using the NIST workforce framework
- Artificial intelligence education and training providers
- Office of Personnel Management Federal AI workforce planners
- NSF Federal AI Scholarship-for-Service administrators
Identified Costs
- National Institute of Standards and Technology AI workforce staff
- Federal agencies asked to coordinate AI workforce terminology
- Organizations providing input on the NIST AI workforce framework
Section 2 - NSF trustworthy AI research and education
Identified Gains
- Graduate students pursuing trustworthy artificial intelligence research
- Postdoctoral researchers pursuing trustworthy artificial intelligence research
- Institutions receiving NSF artificial intelligence fellowship awards
- Social science and humanities researchers joining AI research teams
Identified Costs
- Institutions applying for NSF artificial intelligence fellowship awards
- National Science Foundation award and merit-review staff
- AI fellowship applicants without qualifying U.S. status
Sponsors
Legislative Progress
ReportedOrdered to be Reported in the Nature of a Substitute …
Committee Consideration and Mark-up Session Held
Ms. Lofgren (for herself and Mr. Lucas) introduced the following …
Referred to the House Committee on Science, Space, and Technology.
Introduced in House
Stakeholder Effects
cui bono?How this legislation distributes effects. Mention counts reflect frequency, not effect magnitude.
Artificial intelligence education and training providers, Labor organizations consulted on the NIST AI workforce framework, Office of Personnel Management Federal AI workforce planning
AI fellowship applicants without qualifying U.S. status, Graduate students pursuing trustworthy artificial intelligence research, Institutions applying for NSF artificial intelligence fellowship awards
Positive-direction: Graduate students pursuing trustworthy artificial intelligence research, Institutions receiving NSF artificial intelligence fellowship awards
Negative-direction: AI fellowship applicants without qualifying U.S. status, Institutions applying for NSF artificial intelligence fellowship awards
NSF Federal AI Scholarship-for-Service program, National Science Foundation artificial intelligence education programs, Postdoctoral researchers pursuing trustworthy artificial intelligence research
Positive-direction: NSF Federal AI Scholarship-for-Service program, Postdoctoral researchers pursuing trustworthy artificial intelligence research
Negative-direction: National Science Foundation artificial intelligence education programs
Artificial intelligence employers using the NIST workforce framework, National Institute of Standards and Technology AI workforce framework staff
Positive-direction: Artificial intelligence employers using the NIST workforce framework
Negative-direction: National Institute of Standards and Technology AI workforce framework staff
Bill Structure & Actor Mappings
Who is "The Secretary" in each section?
- "director"
- → Director of the National Science Foundation
- "institute"
- → National Institute of Standards and Technology
- "foundation"
- → National Science Foundation
- "director"
- → Director of the National Institute of Standards and Technology
- "nsf_director"
- → Director of the National Science Foundation
- "opm_director"
- → Director of the Office of Personnel Management
- "secretary_of_labor"
- → Secretary of Labor
Key Definitions
Terms defined in this bill
A data system, software, hardware, application, tool, service, or utility operating in whole or in part using artificial intelligence.
A National Laboratory as defined in section 2 of the Energy Policy Act of 2005.
An organization covered by the National Labor Relations Act definition, expanded to include federations, public-employee, railway, and agricultural-worker organizations described by the bill.
A common taxonomy and lexicon of tasks, knowledge, or skills that can be organized into work roles or competency areas.
We use a combination of our own taxonomy and classification in addition to large language models to assess meaning and potential beneficiaries. High confidence means strong textual evidence. Always verify with the original bill text.
Learn more about our methodology