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119-hr-9334119th CongressWALLET

Workforce for AI Trust Act

Sponsored By: Representative Lofgren, Zoe [D-CA-18]

In Committee

Summary

This bill would expand federal efforts to train and support a _trustworthy, interdisciplinary AI workforce_. It would add NSF interdisciplinary fellowships and skills training, require diverse peer review for AI proposals, and direct NIST to create a national AI workforce framework.

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  • Students and early-career researchers: NSF could fund graduate fellowships covering tuition and stipends for up to three academic years and postdoctoral fellowships covering salaries, benefits, relocation, and research costs for up to three years. Eligibility includes U.S. citizenship or lawful permanent residency and a commitment to research on trustworthy AI.
  • Colleges, national laboratories, and employers: The bill would let NSF fund intra‑ and inter‑institutional workshops, award supplements for professional development, and temporary placements at federal or state agencies, National Laboratories, private sector entities, and institutions of higher education to build multidisciplinary teams.
  • Federal workforce and standards: NIST would develop an AI workforce framework with a common lexicon, task and skill descriptions, guidance for use, stakeholder input from government, industry, labor, and academia, and publish the framework to Congress and the public within one year after development.

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Bill Overview

Analyzed Economic Effects

2 provisions identified: 2 benefits, 0 costs, 0 mixed.

New NSF AI Fellowships and Training

If enacted, NSF would fund new interdisciplinary fellowships for graduate students and postdocs doing trustworthy AI work. Graduate awards would cover tuition, education fees, and stipends for up to three academic years. Postdoctoral awards would cover salaries, benefits, relocation, conference travel, and research costs for up to three years and require a doctoral degree received within five years and a host appointment. NSF would also fund skills training, workshops, and administrative supplements to help students and postdocs get hands-on AI experience. NSF review panels for AI proposals would be asked to include social science, ethics, law, and language expertise when practical.

NIST AI Workforce Framework and Guides

If enacted, NIST would create and update a common AI workforce framework that lists roles, tasks, knowledge, and skills. NIST would get input from government, industry, colleges, labs, labor groups, and nonprofits and would publish the framework to Congress and online within one year after it is developed. NIST would also be allowed to make similar workforce guides for other critical technologies and to support training for AI governance roles like testing and validation. The bill would align NIST rules with the National AI Initiative Act definition of AI and add a statutory cross-reference for what counts as a National Laboratory.

Sponsors & CoSponsors

Sponsor

Lofgren, Zoe [D-CA-18]

CA • D

Cosponsors

  • Rep. Lucas, Frank D. [R-OK-3]

    OK • R

    Sponsored 6/18/2026

  • Rep. Craig, Angie [D-MN-2]

    MN • D

    Sponsored 7/22/2026

Roll Call Votes

No roll call votes available for this bill.

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