AI Frontiers
About
AI Frontiers is a publication and expert commentary platform operated by the Center for AI Safety (CAIS), a nonprofit research organization headquartered in San Francisco. It launched on April 7, 2025, with a founding editorial from the AI Frontiers Editorial Board, which described its mission as providing a direct path for specialists to influence public discourse on AI and reach technical experts, academic researchers, and policymakers. The platform emerged from CAIS's view that public understanding of AI has struggled to keep pace with rapid advances in the technology, and that expert perspectives remain fragmented across platforms and siloed within disciplines. AI Frontiers is designed to serve as a venue for intellectually diverse, accessible commentary on AI's most pressing questions, with articles selected based on the importance of their ideas and the accessibility of their writing. The editorial team is led by Dan Hendrycks (Editor-in-Chief and CAIS Executive Director), Oliver Zhang (Executive Editor and CAIS Managing Director), and Adam Khoja (Head of Publications). Contributing editors include Laura Hiscott and Arunim Agarwal. The platform's advisory board includes Stuart Russell (UC Berkeley), Lawrence Lessig (Harvard Law School), and Yoshua Bengio. Content spans four topic areas: Technology & Research, Policy & Regulation, Jobs & Economy, and Peace & Security. Notable articles have addressed AI deterrence frameworks, catastrophe bonds for extreme AI risk, AI governance approaches, China's AI safety posture, and the limits of paperclip-maximizer framings of AI risk. The platform publishes new articles weekly and operates a subscription newsletter. Donations to AI Frontiers are processed through Center for AI Safety, Inc., and are exclusively used to support the AI Frontiers publication.
Theory of Change
AI Frontiers operates on the premise that expert knowledge about AI risks and governance is fragmented and inaccessible to the policymakers and technical communities who most need it. By providing a curated, accessible forum for high-quality expert commentary, the platform aims to improve the quality of public and policy discourse on AI, ultimately leading to better-informed decisions about AI development, deployment, and regulation. Better-informed decision-making at the policy and institutional level is seen as a key lever for reducing societal-scale risks from advanced AI systems.
Details
- Start Date
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- End Date
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- Expected Duration
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- Funding Raised to Date
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- Last Updated
- Apr 3, 2026, 1:20 AM UTC
- Created
- Apr 3, 2026, 1:20 AM UTC