Frontier Model Forum - About Us
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Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
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The FMF is a key industry-led governance body for frontier AI safety, representing major AI labs; understanding its mandate and scope is useful for tracking industry self-governance and standards development efforts.
Metadata
Summary
The Frontier Model Forum (FMF) is an industry-supported 501(c)(6) non-profit founded in 2023 to advance frontier AI safety and security. Its three core mandates are identifying best practices, advancing the science of AI safety, and facilitating information sharing among government, academia, civil society, and industry. It focuses particularly on CBRN and advanced cyber threat risks posed by frontier AI systems.
Key Points
- •FMF defines 'frontier AI' as general-purpose models outperforming all widely-deployed models from the past 12 months, intentionally broader than just current state-of-the-art.
- •Three mandates: identify best practices/standards, advance safety science, and facilitate cross-sector information sharing.
- •Primary risk focus is on chemical, biological, radiological, nuclear (CBRN) and advanced cyber threats from frontier AI.
- •Governed by member organization representatives and funded entirely by member firm fees; does not engage in lobbying.
- •Founded in 2023 and led by Executive Director Chris Meserole; members include major frontier AI developers.
Cited by 1 page
| Page | Type | Quality |
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| Frontier Model Forum | Organization | 58.0 |
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[Skip to content](https://www.frontiermodelforum.org/about-us/#wp--skip-link--target) ## **Our mission** The Frontier Model Forum (FMF) is an industry-supported non-profit dedicated to advancing frontier AI safety and security. The FMF has three core mandates: 1. **Identify best practices** and support standards development for frontier AI safety and security. 2. **Advance the science** of frontier AI safety and security. 3. **Facilitate information sharing** about frontier AI safety and security among government, academia, civil society and industry. The FMF focuses primarily on managing significant risks to public safety and security, including from chemical, biological, radiological, nuclear (CBRN) and advanced cyber threats. By drawing on the technical and operational expertise of its member firms, the FMF seeks to ensure the most advanced AI systems remain safe and secure so that they can meet society’s most pressing needs. The FMF is committed to working collaboratively with stakeholders across the AI safety and security ecosystem to make AI systems safe, secure, and beneficial. ## **Our scope** “Frontier AI” refers broadly to those general purpose AI models that constitute the state of the art, a collection which will shift over time as the field progresses. For purposes related to its membership, the FMF defines a “frontier AI model” as _a general-purpose model that outperforms, based on a range of conventional performance benchmarks or high-risk capability assessments, all other models that have been widely deployed for at least 12 months._ The FMF’s definition is intentionally more expansive than only “current state of the art” models, in order to include a wider set of stakeholders who are in a position to contribute to the FMF’s work.  ## **Our governance** The Frontier Model Forum is an industry-supported non-profit 501(c)(6), established in 2023. In line with its mission, the Forum provides public benefits related to AI safety and security and does not engage in lobbying. The Forum is led by its Executive Director, [Chris Meserole](https://www.frontiermodelforum.org/leadership/), and overseen by an operating board made up of representatives from its [member organizations](https://www.frontiermodelforum.org/membership/). You can read more about our work and governance here: - [Annual Report – FY 2024-2025](https://www.frontiermodelforum.org/uploads/2025/12/Frontier-Model-Forum-Annual-Report-FY24-FY25.pdf) ## **Our funding** The FMF is funded by fees from its [member firms](https://www.frontiermodelforum.org/membership/).
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