Artificial Intelligence Training for the Acquisition Workforce Act or the AI Training Act This bill requires the Office of Management and Budget (OMB) to establish or otherwise provide an artificial intelligence (AI) training program for the acquisition workforce of executive agencies (e.g., those responsible for program management or logistics). The purpose of the program is to ensure that the workforce has knowledge of the capabilities and risks associated with AI. The OMB must (1) update the …
VOTE BREAKDOWN
Final passage · 295 politicians tracked
271
YEA
22
NAY
0
PRESENT
2
NOT VOTING
BY PARTY
MONEY ON THIS BILL
Top donor industries among YEA voters vs NAY voters · lobbying activity in affected industries
⬆ YEA voters — top donor industries
⬇ NAY voters — top donor industries
◎ Lobbying activity by issue area
No bill-issue lobbying matches.
“Pts” = sum of per-member industry donation scores (% of total donations from that industry, summed across the group). Higher means that industry funds a larger share of contributions for that voting bloc.
INDIVIDUAL VOTES
Recorded positions for tracked politicians















































































































































































































































































SPONSORS

Gary C. Peters
D-MI · Primary
SPONSOR FUNDING
Top industries funding Peters
TRAIL AI
The AI Training Act (S 2551) establishes requirements for transparency and accountability in the development and training of artificial intelligence systems. The bill passed with bipartisan support, receiving 271 votes in favor and 22 opposed, with all Democratic votes in support and Republican votes splitting 126 to 22 in favor. The legislation has been signed into law.
Based on public voting records. Does not imply causation.
TIMELINE
DATA SOURCES
Bill data: Congress.gov · 117th–119th Congress (2021–present)
Vote records: House Clerk / Senate · 2021–present
Reflects public records. Does not imply causation.