Google, Microsoft, and OpenAI Back Linux Foundation's Appia AI Standards Initiative

Published: 2026-06-18 15:19:20 Author: Editor

来源：Slashdot · 作者：BeauHD · 2026-06-17· 分类：TechnologyBrianFagioli writes: Google, Microsoft, OpenAI, A 。

来源：Slashdot · 作者：BeauHD · 2026-06-17 · 分类：TechnologyBrianFagioli writes: Google, Microsoft, OpenAI, Arm, Mastercard, Siemens, and other companies have joined the newly launched Appia Foundation under the Linux Foundation. The project aims to create common specifications and assessment frameworks that organizations can use to demonstrate AI systems meet emerging safety, trust, and compliance requirements. According to the Linux Foundation, the framework is designed to allow conformity evidence to be reused across the AI supply chain, potentially reducing duplicate assessments and compliance costs. The announcement comes as governments around the world move toward enforcing AI regulations and organizations face increasing pressure to prove AI systems are trustworthy. "As international standards and legal frameworks become more established, global organizations need a consistent, practical way to verify that AI systems conform to new expectations," said Jim Zemlin, CEO of the Linux Foundation. "The Appia Foundation establishes a neutrally governed environment where the entire industry can collaborate on a common assessment framework. By building this infrastructure in the open, we are helping organizations reduce complexity, lower operational costs and build trust." Craig Shank, Executive Director of the Appia Foundation, added: "AI systems now make decisions about people's loans, their children's schools and their jobs. People on the receiving end deserve to know those systems were built and assessed against criteria that hold up to scrutiny. The Appia Foundation was formed to do that work: creating publicly available specifications that organizations across the AI value chain use to demonstrate their systems meet those criteria. By establishing this open framework, we are building the accountability layer required to scale safe and trusted AI across major industries."