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.
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.
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.
OpenAI Blog
May 7, 2025
Introducing OpenAI for Countries
A new initiative to support countries around the world that want to build on democratic AI rails.
OpenAI Blog
Jun 1
“Data Center Bandwagon” Campaign: US-targeted influence activity
OpenAI banned a likely PRC-origin cluster using AI to generate social media content criticizing US data centers and AI infrastructure.
arXiv AI
Jun 17
A Multifaceted Analysis of Social Biases in Large Language Models
arXiv:2512. 15792v4 Announce Type: replace-cross Abstract: Large language models (LLMs) have rapidly become indispensable tools for acquiring information and supporting human decision-making.