01 — The Project
About
An independent project comparing simulated model votes with recorded votes in Congress.
02 — Mission
What this project measures
Language models increasingly mediate how people find information and interpret public issues. Comparing their political responses across products is difficult without a shared test.
GPT at the Polls provides one narrow, inspectable comparison. We ask models to vote on the same U.S. House bills, then measure how often their answers match recorded votes by Alexandria Ocasio-Cortez and Mike Johnson.
The result is not a complete measure of political ideology. It is a record of model behavior under a documented prompt, selected bill set, and scoring method.
03 — Process
How it works
Select Bills
We select recorded votes from the U.S. Congress across multiple policy areas.
Query Models
Each AI model receives the full bill text and is asked to cast a Yea or Nay vote, along with a justification. Responses are collected via official APIs.
Compare Votes
We compare each model's vote with the recorded votes of Alexandria Ocasio-Cortez and Mike Johnson on the same bills.
04 — Values
Our principles
Transparency
We publish the prompt template, recorded responses, scoring rules, and known limitations.
Neutrality
We report benchmark agreement without treating the result as a political verdict or endorsement.
Rigor
Bill records link to source material, and model responses retain the identifiers and timestamps needed to inspect each result.
Independence
GPT at the Polls is an independent project. We are not affiliated with, funded by, or endorsed by any AI company, political party, or lobbying group.