OpenAI Blog
Jan 16
Our approach to advertising and expanding access to ChatGPT
OpenAI plans to test advertising in the U. S.
Defining and evaluating political bias in LLMs
Learn how OpenAI evaluates political bias in ChatGPT through new real-world testing methods that improve objectivity and reduce bias.
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arXiv Machine Learning
Sep 3
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models
The paper introduces GPTBIAS, a framework that uses powerful large language models like GPT‑4 to evaluate bias in other LLMs. It employs specially crafted prompts called Bias Attack Instructions to probe for bias and outputs a bias score along with detailed information such as bias types, affected demographics, keywords, reasons, and improvement suggestions. Extensive experiments demonstrate the framework’s effectiveness and usability.
OpenAI Blog
Jan 15, 2024
How OpenAI is approaching 2024 worldwide elections
We’re working to prevent abuse, provide transparency on AI-generated content, and improve access to accurate voting information.
OpenAI Blog
Aug 6
From asking to doing: How the world is putting ChatGPT to work
New OpenAI Signals data shows how people use ChatGPT worldwide, with country-level insights on adoption, usage trends, and evolving behavior.
OpenAI Blog
Jun 10
PRC-linked influence operations are targeting AI debates in the US
A new report from OpenAI details PRC-linked influence operations using AI to target U. S.
OpenAI Blog
Oct 21
How we built ChatGPT’s novel ad stack for user trust and relevance
OpenAI explains the construction of ChatGPT’s new ad stack, which uses large language models to interpret conversational intent and keep advertisements distinct from the model’s responses. The system is designed to deliver relevant ads at scale while preserving user trust. The article outlines the technical approach and design principles behind this ad infrastructure.
arXiv Computation and Language
Sep 22
Auditing Political Alignment in LLM Assistants: Engagement, Stance, and User Identity
arXiv:2609.23039v1 Announce Type: new Abstract: LLM-based AI systems answer political questions for hundreds of millions of people. Current audits measure what they say to an average user, but their...
arXiv AI
Jun 6
A Systematic Analysis of Biases in Large Language Models
arXiv:2512. 15792v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have rapidly become indispensable tools for acquiring information and supporting human decision-making.
arXiv Computation and Language
Sep 22
What Is The Political Content in LLMs' Pre- and Post-Training Data?
arXiv:2509.22367v3 Announce Type: replace Abstract: Large language models (LLMs) reflect politically-slanted opinions in their generated text. Even though it is widely assumed that model behavior ste...
OpenAI Blog
May 7
Testing ads in ChatGPT
OpenAI begins testing ads in ChatGPT to support free access, with clear labeling, answer independence, strong privacy protections, and user control.
arXiv AI
Aug 28
The BS-meter: Detecting Politics and Labour through ChatGPT's Language
The paper investigates the linguistic characteristics of ChatGPT-generated text, comparing it to 1,000 scientific publications and exploring its relation to concepts of ‘bullshit’ in political speech and workplace contexts. By applying hypothesis‑testing methods, the authors demonstrate that a statistical model of bullshit can link the artificial bullshit produced by ChatGPT to the political and workplace functions of bullshit observed in natural human language.
OpenAI Blog
Jun 1, 2025
Operation “Uncle Spam”: US polarization influence activity
OpenAI banned China-origin accounts using AI to generate US political content and research people, movements, and online communities.