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HR 8893To require the National Institute of Standards and Technology to establish task forces to facilitate and inform the development of technical standards and guidelines relating to the identification of content created by generative artificial intelligence, and for other purposes.

Congress 119

Latest action: Referred to the House Committee on Science, Space, and Technology.

Sponsors

Action timeline

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Text versions

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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
1Foushee, Valerie P. (D, house NC-4)sponsor27
2Beyer, Donald S. (D, house VA-8)cosponsor23
3Moylan, James C. (R, house GU)cosponsor12
4Fitzpatrick, Brian K. (R, house PA-1)cosponsor01

Who's influencing them

Orgs ranked by combined money flow on this bill: LDA filings citing the bill + individual contributions in cycle 2026from donors whose employer matches the org name (Schedule A) to any principal committee in the "who matters" list above.

#OrgLDA filingsLDA spendDonor employeesEmployee donationsTotal
1retired0$07$10,602$10,602
2not employed0$041$10,511$10,511
3blackstone0$02$9,500$9,500
4regency centers0$01$7,000$7,000
5magnolia marketing0$01$7,000$7,000
6kitebrook partners0$01$7,000$7,000
7third point llc0$01$3,500$3,500
8machine intelligence research institut0$01$3,500$3,500
9kirkland & ellis llp0$01$3,000$3,000
10kirkland & ellis0$02$3,000$3,000
11self0$03$1,800$1,800
12stone soup0$01$1,500$1,500
13self employed0$04$1,370$1,370
14jafi0$01$1,000$1,000
15logs network0$01$1,000$1,000
16shiloh groupllc0$01$1,000$1,000
17miller and chevalie0$01$1,000$1,000
18mclarty & associates0$01$1,000$1,000
19sesac music group0$01$1,000$1,000
20gdit0$01$500$500
21beckers healthcare0$01$500$500
22carnegie0$01$500$500
23edelson pc0$01$500$500
24exxonmobil0$01$500$500
25arcxis builder services0$01$500$500

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.

4 predicted yes (1%) · 3 predicted no (1%) · 536 unknown (98%)

By party: · R: 2 yes / 0 no / 275 unknown · D: 2 yes / 0 no / 261 unknown · I: 0 yes / 3 no

4 high-confidence positions (voted + sponsor + cosponsor)

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