Overall Score
Principle Profile
OECD Principle Alignment
Inclusive Growth, Sustainable Development & Well-being
Based on 10 items: 1 vote, 7 sponsorships, 2 statements
Human-Centered Values & Fairness
Based on 9 items: 1 vote, 7 sponsorships, 1 statement
Transparency & Explainability
Based on 7 items: 6 sponsorships, 1 statement
Robustness, Security & Safety
Based on 4 items: 3 sponsorships, 1 statement
How This Score Was Calculated
Evidence Collection
We collect floor votes, bill sponsorships, co-sponsorships, committee statements, floor speeches, and press releases from public congressional records.
AI Classification
Each evidence item is filtered by AI relevance keywords, then classified by Claude AI for relevance to OECD principles. Bills are classified for direction. Statements have structured claims extracted.
Deterministic Scoring
Scores are computed using transparent math. Each evidence type has a weight (votes: 1.0, sponsorships: 0.9, statements: 0.4-0.6). Temporal decay reduces older evidence.
Evidence Type Weights
Evidence Trail
Every score is traceable to specific evidence items below.
Senators Ron Wyden (D-OR) and Jeff Merkley (D-OR) are leading a bill aiming to limit immigration authorities from using facial recognition technology.
I wrote section 230 to protect user speech, not a company's own speech. I've long said AI chatbot outputs are not protected by 230 and that it is not a close call. Given that the Trump administration is going to the mat to protect pedophiles, states should step in to hold Musk and X accountable.
Vote: YEA on Blackburn Amdt. No. 2814; To strike the section relating to support for artificial intelligence. - On the Amendment <measure>S.Amdt. 2814</measure>
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