We’re strengthening the Frontier Safety Framework (FSF) to help identify and mitigate severe risks from advanced AI models.
We’ve written a policy research paper identifying four strategies that can be used today to improve the likelihood of long-term industry cooperation on safety norms in AI: communicating risks and benefits, technical collaboration, increased transparency, and incentivizing standards. Our analysis shows that industry cooperation on safety will be instrumental in ensuring that AI systems are safe and beneficial, but competitive pressures could lead to a collective action problem, potentially causing AI companies to under-invest in safety.
Together with Anthropic, Google, and Microsoft, we’re announcing the new Executive Director of the Frontier Model Forum and a new $10 million AI Safety Fund.
The article presents early guidelines for safety cases in frontier AI training, outlining technical safeguards, operational practices, and methods for investigating misalignment incidents. It emphasizes the importance of structured safety documentation to guide the development and deployment of advanced AI systems. The guidelines aim to provide a framework for identifying and mitigating risks associated with frontier AI training.
OpenAI outlines a blueprint for U. S.