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Sponsored by Rep. Darren Soto (D-FL) · 3 active : 1 Republican, 2 Democrats
Latest action: Received in the Senate and Read twice and referred to the Committee on Commerce, Science, and Transportation.
Consumer Safety Technology Act
This bill (1) establishes a pilot program to explore the use of artificial intelligence to support the Consumer Product Safety Commission (CPSC), and (2) requires reports related to blockchain technology and digital tokens.
Specifically, the CPSC must consult with relevant stakeholders, such as data scientists and product manufacturers, and use artificial intelligence for a least one of the following purposes: (1) tracking trends in injuries involving consumer products, (2) identifying consumer product hazards, (3) monitoring the sale of recalled consumer products, or (4) identifying consumer products that do not meet specified importation requirements related to product safety.
The bill also requires (1) the Department of Commerce to report on existing and emerging uses of blockchain technology for consumer protection, and (2) the Federal Trade Commission to report on its efforts to prevent unfair or deceptive practices relating to digital tokens.
Each member’s recorded vote compared with their swing projection from before the vote. A member by voting against most of their own party.
| BandBand before the vote | VotedVoted yea or nay | BrokeBroke with party | Share |
|---|---|---|---|
| Swing | 28 | 0 | 0% |
| Middle | 174 | 30 | 17% |
| Entrenched | 164 | 6 | 4% |
| All |
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. Where the House has voted, each member’s appears with the projection made before it.
Loading similar votes
| 366 |
| 36 |
| 10% |
: Pair any member who broke with one who stayed with their party: in 66% of those pairs, the one who broke had the higher swing score before the vote. Chance would be 50%.
Projections from swing-v2, computed with data from before the vote. Present and not voting never count as breaking.
These members have less than half of the model’s inputs, so their scores are not banded or ranked.
Ringed dots broke with their party on the vote.
Ideology is each member’s score. The cluster low on the chart includes the bill’s 4 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 15.0 (needs 5.0).
