THE OPEN SOURCE AI DEFINITION 1.0
We have released the first stable version of the Definition.
What’s Open Source AI?
Following the same idea behind Open Source Software,
an Open Source AI is a system made available under terms that grant users the freedoms to:
Benefits of Open Source AI
Transparency & Safety
Open Source AI provides information essential for auditing systems and to mitigate bias, ensures accountability and transparency of data sources, and accelerates AI safety research.
Competition & Polyculture
Open Source AI makes more models available, spurs innovation and quality due to increased competition and tackles AI monoculture by providing more stakeholders access to foundational technology.
Diverse Applications
Open Source AI gives developers access to resources crucial for developing context-specific, localized applications that are representative of cultural and linguistic diversity and allow for model aligned with different value systems.

Read the white paper
The Open Source Initiative and Open Future have taken a significant step toward addressing this challenge by releasing this white paper. The document is the culmination of a global co-design process, enriched by insights from a vibrant two-day workshop held in Paris in October 2024.
Why Open Source AI needs a definition?
Open Source Frontier
The traditional view of Open Source code and licenses when applied to AI components are not sufficient to guarantee the freedoms to use, study, share and modify the systems.
Informing Regulators
Government regulations have begun in Europe, the United States, and elsewhere. Communities need a common understanding to educate policy makers.
Combat Openwashing
Companies are calling AI systems “Open Source” even though their licenses contain restrictions that go against the accepted principles and freedoms of Open Source.
Who’s behind the Open Source AIDefinition
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