"Coming up with the proper open source definition is challenging, given restrictions on data, but I'm glad to see that the OSI v1.0 definition requires at least that the complete code for data processing (the primary driver of model quality) be open-source," said Percy Liang, director of Center for Research on Foundation Models, Stanford University, in a statement endorsing OSAID. "The devil is in the details, so I'm sure we'll have more to say once we have concrete examples of people trying to apply this Definition to their models."
The Open Source AI Definition (OSAID) v1.0, unveiled at the All Things Open 2024 conference in Raleigh, North Carolina, is described as "the first stable version" of a project to establish a set of principles that "that can recreate permissionless, pragmatic, and simplified collaboration for AI practitioners, similar to that which the Open Source Definition has done for the software ecosystem," the OSI said in its FAQ.
OSI said that it is confident that its methodology has resulted in a standard that meets its original brief. "The co-design process that led to version 1.0 of the Open Source AI Definition was well-developed, thorough, inclusive, and fair."
Created via a co-design process involving more than 25 organizations, including leaders from commercial entities such as Microsoft, Google, Amazon, Meta, Intel, and Samsung, and groups including the Mozilla Foundation, Linux Foundation, the Apache Software Foundation, and the United Nations International Telecommunications Union, the document has already been endorsed by organizations worldwide.
Collection
[
|
...
]