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Sponsored by Rep. August Pfluger (R-TX) · 3 active : 2 Republicans, 1 Democrat
Latest action: Received in the Senate and Read twice and referred to the Committee on Homeland Security and Governmental Affairs.
Generative AI Terrorism Risk Assessment Act
This bill requires the Department of Homeland Security (DHS) to periodically provide Congress with an assessment of threats to the United States posed by the use of generative artificial intelligence (AI) for terrorism.
Generative AI
is defined as the class of AI models that emulate the structure and characteristics of input data to generate derived synthetic content, including images, videos, audio, text, and other digital content.
The bill also (1) requires DHS to review and disseminate related information gathered by state and major urban area fusion centers and the National Network of Fusion Centers, and (2) requires other federal agencies to share related information with DHS. (A
fusion center
is a collaborative effort of two or more federal, state, local, or tribal government agencies that combines resources, expertise, or information with the goal of maximizing the ability of such agencies to detect, prevent, investigate, apprehend, and respond to criminal or terrorist activity.)
Each member’s recorded vote compared with their swing projection from before the vote. A member by voting against most of their own party.
Passed by voice vote or unanimous consent: no individual votes recorded.
Members fall into . 2 representatives don’t have enough data yet and are marked “insufficient data”. Non-voting delegates are not counted. The bill is not before the House right now; these scores show where members would stand.
Bars show each input from 0 to 100: ideology gap, scorecard gap, . is the seat’s partisan lean, and shows how much of the input data a score has.
Loading similar votes
These members have less than half of the model’s inputs, so their scores are not banded or ranked.
Ideology is each member’s score. The cluster low on the chart includes the bill’s 3 sponsor and cosponsors in the House: they have already committed, so they score as entrenched. 2 representatives without a DW-NOMINATE score or with insufficient data are not plotted.
Similar votes count toward swing-v3 in the House: total similarity weight 69.0 (needs 5.0).
