Open Source AI and the Challenges of Releasing Proprietary Data

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This chapter explores the concept of open source AI and the difficulties of sharing proprietary data while making the model open source. It discusses the need for accessible, studyable, modifiable, and shareable models, as well as alternatives such as providing detailed data descriptions, anonymized data subsets, and metadata cards for sharing.

This week we’re joined by Stefano Maffulli, the Executive Director of the Open Source Initiative (OSI). They are responsible for representing the idea and the definition of open source globally. Stefano shares the challenges they face as a US-based non-profit with a global impact. We discuss the work Stefano and the OSI are doing to define Open Source AI, and why we need an accepted and shared definition. Of course we also talk about the potential impact if a poorly defined Open Source AI emerges from all their efforts.

Note: Stefano was under the weather for this conversation, but powered through because of how important this topic is.

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