H.R. 9334 · 119th Congress

Workforce for AI Trust Act

Introduced on Jun 18, 2026 by Zoe Lofgren (D-CA-18). 2 cosponsors, 1 of them from another party. Latest action (Jun 25, 2026): Ordered to be Reported in the Nature of a Substitute (Amended) by the Yeas and Nays: 35 - 0.

Stage
Introduced
Introduced
Jun 18, 2026
Cosponsors
2
1 from the other party
Policy area
Science, Technology, Communications
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Progress

The furthest stage the measure reached. Simple and concurrent resolutions do not go to the President.

  1. Introduced
  2. 2Reported by committee
  3. 3Passed one chamber
  4. 4Passed both chambers
  5. 5Sent to the President
  6. 6Became law

Official title

To amend the National Artificial Intelligence Initiative Act of 2020 to facilitate the growth of multidisciplinary teams that can advance the development and training of safe and trustworthy artificial intelligence systems, and for other purposes.

Subjects

  • Advanced technology and technological innovations
  • Advisory bodies
  • Computers and information technology
  • Education programs funding
  • Higher education
  • Minority education

Summary

By the Congressional Research Service (Introduced in House, Jun 18, 2026). Public domain.

Workforce for AI Trust Act

This bill provides for various workforce development and research programs related to artificial intelligence (AI).

For example, the bill authorizes the National Institute of Standards and Technology (NIST) to support education and workforce development activities to expand careers in the AI workforce. Further, the bill requires NIST to develop a common system for describing and classifying AI-related tasks, knowledge, and skills that can be used to develop job descriptions or competency areas (an AI workforce framework). NIST must develop guidelines for using the framework and take other steps to support external use (e.g., through outreach and dissemination to AI education programs).

Separately, the National Science Foundation (NSF) may make awards through eligible institutions of higher education to support graduate and postdoctoral research fellowships across disciplines (including in social science and humanities) related to trustworthy AI. NSF may also make awards to support institutional workshops to advance the development and training of trustworthy AI systems.

NSF must encourage the use of AI to accelerate work across NSF-supported fields, including by supporting (1) training for undergraduate and graduate students and postdoctoral researchers, (2) workshops on the application of trustworthy AI to new uses, and (3) supplements to existing research awards for applying AI to ongoing research.

Further, NSF must generally ensure that merit review panels convened to evaluate AI-related proposals incorporate perspectives from diverse research disciplines (e.g., social science, ethics, and linguistics).

Sponsor and cosponsors

Cosponsors by party as of the day they signed on. Original cosponsors signed on the day of introduction.

Zoe LofgrenD-CA-18Sponsor

Democrats · 1

Republicans · 1

Roll calls

Recorded votes on the measure. Most measures move by voice vote or unanimous consent, which record no individual positions.

No recorded roll call on this measure: it moved by voice vote or unanimous consent, or has not reached the floor.

History

Every action as published, oldest first. Roll calls link to how each member voted.

  1. Jun 18, 2026Introduced in House
  2. Jun 18, 2026Introduced in House
  3. Jun 18, 2026 · HouseReferred to the House Committee on Science, Space, and Technology.
  4. Jun 25, 2026 · HouseCommittee Consideration and Mark-up Session Held
  5. Jun 25, 2026 · HouseOrdered to be Reported in the Nature of a Substitute (Amended) by the Yeas and Nays: 35 - 0.

Committees

Committees and subcommittees the measure was referred to.

Agencies in its committees' jurisdiction

Analisa's mapping of committee jurisdiction to federal agencies; the bill may touch others, or none of these.

Who lobbied on it

Organizations whose lobbying reports (LD-2) name this measure. Spending is what they reported for those quarters on all issues, not on this measure alone.

  1. LINKEDIN CORPORATION1 report
    $280K reported (all issues)Federal contractor: LINKEDIN CORPORATIONAI match · 100%

Reports filed in 2026.

Sources and method

Every figure on this page traces to these records.

  • Bill status: bills and resolutions, sponsors, actions, subjects and CRS summaries (U.S. Government Publishing Office (GovInfo), from Congress.gov (Library of Congress))GovInfo Bill Status bulk data (Congress.gov; summaries by the Congressional Research Service) · data current to Oct 8, 2026 · loaded Oct 8, 2026 · license: Public domain (U.S. Government work, 17 U.S.C. § 105)
  • Members of Congress, their terms, committees and identifiers (The @unitedstates project (from the Biographical Directory of the U.S. Congress, the House and the Senate))unitedstates/congress-legislators: legislators, committees and current committee membership · data current to Oct 3, 2026 · loaded Oct 3, 2026 · license: CC0 1.0 (public domain dedication)
  • House roll-call votes (Office of the Clerk, U.S. House of Representatives)Office of the Clerk, U.S. House of Representatives, roll-call vote records · data current to Oct 3, 2026 · loaded Oct 3, 2026 · license: Public domain (U.S. Government work, 17 U.S.C. § 105)
  • Senate roll-call votes and DW-NOMINATE scores (Voteview (UCLA Department of Political Science))Lewis, Jeffrey B., Keith Poole, Howard Rosenthal, Adam Boche, Aaron Rudkin, and Luke Sonnet (2026). Voteview: Congressional Roll-Call Votes Database. https://voteview.com/ · data current to Oct 3, 2026 · loaded Oct 3, 2026 · license: Free to use with the required citation
  • Lobbying disclosures (LD-1 registrations, LD-2 quarterly reports, LD-203 contribution reports) (Clerk of the U.S. House of Representatives)Clerk of the House, Lobbying Disclosure Act filings (organizations only; lobbyists' names are not loaded) · data current to Oct 7, 2026 · loaded Oct 7, 2026 · license: Public domain (U.S. Government work, 17 U.S.C. § 105)
  • Positions are shown only where a roll call recorded them; voice votes and unanimous consent record none.
  • Money and votes are shown side by side; neither explains the other.