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Sponsored by Rep. Zachary Nunn (R-IA) · 7 active : 2 Republicans, 5 Democrats
Latest action: Placed on the Union Calendar, Calendar No. 615.
Artificial Intelligence Practices, Logistics, Actions, and Necessities Act or the AI PLAN Act
This bill requires the Department of the Treasury, the Department of Homeland Security (DHS), and the Department of Commerce to submit a report on the risks posed by the use of artificial intelligence in the commission of financial crimes by adversarial actors.
The report must
describe interagency, intergovernmental, and public-private partnership activities, policies, and procedures to defend U.S. interests against the national and economic security risks posed by the use of artificial intelligence in the commission of financial crimes;
provide a list of readily available resources that can be immediately deployed by federal agencies to combat these risks, and
provide a list of resources needed by federal agencies to combat these risks.
Risks that must be considered by the report include deepfakes, voice cloning, foreign election interference, synthetic identities, false flags that disrupt market operations, AI-supported social engineering, and general digital fraud.
After submission of this report, Treasury, DHS, and Commerce must make recommendations for legislation and best practices for businesses and government entities to address these risks.
Members fall into . 6 representatives don’t have enough data yet and are marked “insufficient data”. Non-voting delegates are not counted.
Bars show each input from 0 to 100: ideology gap, scorecard gap, , and the . is the seat’s partisan lean, and shows how much of the input data a score has.
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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 8 sponsor and cosponsors in the House: they have already committed, so they score as entrenched. 6 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 19.5 (needs 5.0).