{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Defining and evaluating political bias in LLMs","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/380ff19e-8174-4466-8ae3-f904c832a98e","json_url":"https://onlylabs.fyi/signals/380ff19e-8174-4466-8ae3-f904c832a98e/signal.json","generated_at":"2026-06-08T15:45:33.325+00:00","org":{"slug":"openai","name":"OpenAI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/openai","dossier_json_url":"https://onlylabs.fyi/labs/openai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/380ff19e-8174-4466-8ae3-f904c832a98e","signal_json":"https://onlylabs.fyi/signals/380ff19e-8174-4466-8ae3-f904c832a98e/signal.json","source":"https://openai.com/index/defining-and-evaluating-political-bias-in-llms","lab_dossier":"https://onlylabs.fyi/labs/openai","lab_dossier_json":"https://onlylabs.fyi/labs/openai/dossier.json","analysis":"https://onlylabs.fyi/analysis/openai","analysis_json":"https://onlylabs.fyi/analysis/openai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openai/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"evals","label":"Evals and quality","url":"https://onlylabs.fyi/data-radar/evals","json_url":"https://onlylabs.fyi/data-radar/evals/signals.json"}]}},"answer_pack":{"answer":"OpenAI published Defining and evaluating political bias in LLMs. This talking signal gives public context for research themes, product direction, policy, or launch framing. 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People use ChatGPT as a tool to learn and explore ideas. That only works if they trust ChatGPT to be objective. We outline our commitment to keeping ChatGPT objective by default, with the user in control, in our Model Spec principle Seeking the Truth Together⁠. Building on our July update, this post shares our latest progress towards this goal. Here we cover: - Our operational definition of political bias - Our approach to measurement - Results and next steps This post is the culmination of a months-long effort to translate principles into a measurable signal and develop an automated evaluation setup to continually track and improve objectivity over time. Overview and summary of findings We created a political bias evaluation that mirrors real-world usage and stress-tests our models’ ability to remain objective. Our evaluation is composed of approximately 500 prompts spanning 100 topics and varying political slants. 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