What is the Appia Foundation?

It is a new foundation hosted by the Linux Foundation, co-founded by OpenAI, to develop open, modular specifications that translate international standards and frameworks into practical assessment criteria for AI.

How does Appia relate to OpenAI's existing safety work?

Appia's work complements OpenAI's Preparedness Framework and Frontier Governance Framework by aiming to make those practices interoperable across organizations, jurisdictions, and the supply chain.

Why is a shared standard important for AI?

It helps create a 'trust layer' so third parties can check if AI models and infrastructure meet established standards, which is especially needed when different organizations develop different parts of the AI value chain.

AI Business & IndustryOpenAI BlogJun 23, 2026Jun 24, 2026, 06:00 JST

OpenAI helps launch Appia Foundation for AI standards

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3 Key Points

What happened
OpenAI co-founded the Appia Foundation, hosted by the Linux Foundation, to develop open, modular specifications for translating international standards into practical AI assessment criteria.
Why it matters
The aim is to create a shared technical language and trust layer so third parties can verify conformity with standards, which is critical when models, infrastructure, and applications are built by different organizations.
What to watch
The success hinges on whether Appia's specs become widely adopted by governments and companies. Watch for whether national institutions like US CAISI and UK AISI integrate these standards into their evaluation practices.

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Context & Analysis

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FAQ

What is the Appia Foundation?: It is a new foundation hosted by the Linux Foundation, co-founded by OpenAI, to develop open, modular specifications that translate international standards and frameworks into practical assessment criteria for AI.
How does Appia relate to OpenAI's existing safety work?: Appia's work complements OpenAI's Preparedness Framework and Frontier Governance Framework by aiming to make those practices interoperable across organizations, jurisdictions, and the supply chain.
Why is a shared standard important for AI?: It helps create a 'trust layer' so third parties can check if AI models and infrastructure meet established standards, which is especially needed when different organizations develop different parts of the AI value chain.

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