Overall Score
Principle Profile
OECD Principle Alignment
Inclusive Growth, Sustainable Development & Well-being
Based on 6 items: 1 vote, 3 sponsorships, 2 statements
Human-Centered Values & Fairness
Based on 5 items: 1 vote, 2 sponsorships, 2 statements
Transparency & Explainability
Based on 4 items: 3 sponsorships, 1 statement
Robustness, Security & Safety
Based on 1 item: 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.
A good step for ICE accountability — after raising hell, I’ve secured an investigation into ICE’s widespread surveillance. We need oversight into how ICE is using facial recognition, social media dossiers, and more to monitor all of us.
NEW: I am cracking down on DHS’s surveillance… and pressing for answers on how they’re mining our data and using it in immigration enforcement. In addition to all the other guardrails we need to put on ICE, we cannot let DHS set up a massive & unchecked surveillance apparatus.
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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