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HB 2503Regulating artificial intelligence training data.

Congress · introduced 2026-01-15

AN ACT Relating to artificial intelligence training data;

Latest action: 2026-01-30 Referred to Appropriations.

Sponsors

Action timeline

  1. · house First reading, referred to Technology, Economic Development, & Veterans.
  2. · house TEDV - Executive action taken by committee.
  3. · house TEDV - Majority; 1st substitute bill be substituted, do pass.
  4. · house Minority; do not pass.
  5. · house Minority; without recommendation.
  6. · house TEDV - Majority; 1st substitute bill be substituted, do pass.
  7. · house Minority; do not pass.
  8. · house Minority; without recommendation.
  9. · house Referred to Appropriations.
  10. · house Referred to Appropriations.

Text versions

No text versions on file yet — same ingest as the action timeline populates these. Each version has direct links to the XML / HTML / PDF at govinfo.gov.

Connected on the graph

Inbound (7)

datefromtypeamountrolesource
2026-01-15Duerr, Davinacosponsor_of_billcosponsorsponsorship
2026-01-15Hill, Natashacosponsor_of_billcosponsorsponsorship
2026-01-15Kloba, Shelleycosponsor_of_billcosponsorsponsorship
2026-01-15Parshley, Lisacosponsor_of_billcosponsorsponsorship
2026-01-15Pollet, Gerrycosponsor_of_billcosponsorsponsorship
2026-01-15Ramel, Alexcosponsor_of_billcosponsorsponsorship
2026-01-15Shavers, Clydesponsor_of_billsponsorsponsorship

Who matters

Members ranked by combined influence on this bill: role (sponsor 5 / cosponsor 1), capped speech count from the Congressional Record, and recorded-vote engagement.

#MemberRoleSpeechesVotedScore
1Shavers, Clyde (D, state_lower WA-10)sponsor05
2Duerr, Davina (D, state_lower WA-1)cosponsor01
3Hill, Natasha (D, state_lower WA-3)cosponsor01
4Kloba, Shelley (D, state_lower WA-1)cosponsor01
5Parshley, Lisa (D, state_lower WA-22)cosponsor01
6Pollet, Gerry (D, state_lower WA-46)cosponsor01
7Ramel, Alex (D, state_lower WA-40)cosponsor01

Predicted vote

Aggregated from: actual roll-call votes (when present) → sponsor → cosponsor → party median (predicts YES when ≥25% of the caucus sponsored/cosponsored). Each row labels its confidence tier so you can see why a position was predicted.

0 predicted yes (0%) · 543 predicted no (100%) · 0 unknown (0%)

By party: · R: 0 yes / 277 no · D: 0 yes / 263 no · I: 0 yes / 3 no

Activity

Every typed-graph event involving this entity, newest first. Each row is one edge in the influence graph; click the date to jump to its provenance.

  1. 2026-01-15 · sponsored by Shavers, Clyde (sponsor) · sponsorship
  2. 2026-01-15 · cosponsored by Duerr, Davina (cosponsor) · sponsorship
  3. 2026-01-15 · cosponsored by Parshley, Lisa (cosponsor) · sponsorship
  4. 2026-01-15 · cosponsored by Hill, Natasha (cosponsor) · sponsorship
  5. 2026-01-15 · cosponsored by Kloba, Shelley (cosponsor) · sponsorship
  6. 2026-01-15 · cosponsored by Pollet, Gerry (cosponsor) · sponsorship
  7. 2026-01-15 · cosponsored by Ramel, Alex (cosponsor) · sponsorship

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