A new version of the Open Source AI Definition has been released by the Open Source Initiative. The update is part of the drive to have a stable release of the definition ready by the end of October 2024. The plan is to release it at the All Things Open technology conference.

The OSI definition document follows the definition of AI system adopted by the Organization for Economic and Co-operation Development (OECD).

The latest version updates what is meant by open source AI in terms of the models and weights/parameters as encompassed by the word "system". It also makes it clear that all components of a larger system have to meet the standard.

The team says that the role of training data is one of the most hotly debated parts of the definition, and that after long deliberation they have concluded that defining training data as a benefit, not a requirement, is the best way to go.

"Open training data (data that can be reshared) provides the best way to enable users to study the system, along with the preferred form of making modifications."

They say that public training data also enables users to study the work, along with the preferred form.

The definition is still being worked on, and the committee says that the next steps are to meet diverse stakeholders at the worldwide roadshow and incorporate that feedback in future drafts. The roadshow is taking place thanks to a grant by the Sloan Foundation, with multiple conferences from around the world, weekly town halls and online throughout the Open Source community. The first two stops have been held in Asia, inHong Kong for AI_dev August 21-23, then Beijing for Open Source Congress August 25-27. Other events are planned to take place in Africa, South America, Europe and North America.

The committee also plans to look carefully for "new arguments in dissenting opinions", and to decide how to best address the reviews of new licenses for datasets, documentation and the agreements governing model parameters.

More Information

Open Source Initiative Website

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