Frontier AI regulation: Managing emerging risks to public safety

Strengthening our Frontier Safety Framework

We’re strengthening the Frontier Safety Framework (FSF) to help identify and mitigate severe risks from advanced AI models.

OpenAI’s Frontier Governance Framework

Explore OpenAI’s Frontier Governance Framework and how our AI safety, security, and risk practices align with emerging EU and California regulations.

Frontier Model Forum

We’re forming a new industry body to promote the safe and responsible development of frontier AI systems: advancing AI safety research, identifying best practices and standards, and facilitating information sharing among policymakers and industry.

Democratizing AI Safety with RiskRubric.ai

Why responsible AI development needs cooperation on safety

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.

A blueprint for democratic governance of frontier AI

OpenAI outlines a blueprint for U. S.

Towards safety cases for frontier AI training

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.

Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond

arXiv:2607. 02197v1 Announce Type: cross Abstract: The society and emerging risk-based regulatory frameworks for AI underscore the need for rigorous risk assessment to ensure safe and reliable AI systems.

Governing Artificial Intelligence: Public Preferences and Regulatory Options

arXiv:2607. 14585v1 Announce Type: cross Abstract: Artificial intelligence (AI) is rapidly transforming economies, societies, and polities, raising fundamental questions about how it should be regulated.

The US is advancing AI safety through state and federal action

OpenAI outlines a “reverse federalism” approach to AI governance, where state laws help build a national framework for safe, democratic AI.

Our updated Preparedness Framework

Sharing our updated framework for measuring and protecting against severe harm from frontier AI capabilities.

Priorities and principles for effective third party assessments

OpenAI outlines priorities and principles for rigorous, secure, and independent third-party AI safety assessments of frontier models and safeguards.