OpenAI Introduces Safety Evaluations Hub for AI Models

OpenAI Introduces Safety Evaluations Hub for AI Models

OpenAI has launched a Safety Evaluations Hub to regularly publish AI model safety test results, aiming to enhance transparency in AI safety metrics.

OpenAI has launched a new Safety Evaluations Hub to publish the results of its AI model safety tests more frequently. This initiative, announced on May 14, 2025, aims to increase transparency by providing ongoing updates on how OpenAI's models perform in various safety evaluations, including tests for harmful content generation, jailbreaks, and hallucinations.

The Safety Evaluations Hub will serve as a resource for exploring safety results, with updates occurring alongside major model updates. OpenAI has stated that this hub will help in understanding the safety performance of its systems over time and support community efforts to enhance transparency across the AI field.

The hub includes evaluations that measure a model's ability to avoid generating harmful content, resist adversarial prompts, and maintain factual accuracy. OpenAI plans to update the hub periodically as part of its broader effort to communicate more proactively about AI safety.

We hope you enjoyed this article.

Consider subscribing to one of several newsletters we publish like AI Policy Brief.

Also, consider following us on social media:

AI Safety & Regulation
AI Brief (X)

More from: AI Safety

Subscribe to Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more

You May Also Like