---
type: "Evidence Item"
title: "Defining and evaluating political bias in LLMs"
description: "Learn how OpenAI evaluates political bias in ChatGPT through new real-world testing methods that improve objectivity and reduce bias."
resource: "https://openai.com/index/defining-and-evaluating-political-bias-in-llms"
tags: ["appendix-iii", "benchmark", "openai"]
timestamp: "2025-10-09"
category: "benchmark"
publisher: "OpenAI"
cope_score: 76
confidence: 0.9
---

# Defining and evaluating political bias in LLMs

# Claim

Learn how OpenAI evaluates political bias in ChatGPT through new real-world testing methods that improve objectivity and reduce bias.

# Relevance

Appendix III, section one: model and benchmark capability evidence

# Oracle Verdict

This belongs in the register because benchmark and model-release claims set the ceiling for the next wave of deployment stories. The labour-market effect is indirect today, but it becomes direct when these gains are packaged into agents, APIs, and enterprise tools.

# Metadata

* Publisher: OpenAI
* Category: benchmark
* Sector: General AI capability
* Capability: Model and benchmark capability movement
* Cope score: 76
* Confidence: 0.9

# Related Concepts

* [Live evidence index](index.md)
* [Thesis](../thesis.md)

# Citations

[1] [Defining and evaluating political bias in LLMs](https://openai.com/index/defining-and-evaluating-political-bias-in-llms)