MOT: A Tool To Fight Open-washing in AI - Arnaud Le Hors, IBM

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MOT: A Tool To Fight Open-washing in AI - Arnaud Le Hors, IBM

Many models referred to as "open source" are distributed under restrictive licenses and fail to include the necessary information to actually qualify as open source. Just because a model is on HuggingFace does not mean it is open source.

Several attempts have been made to provide a definition of what "open source AI" ought to be but we now have a tool that can help: the Model Openness Tool (MOT).

The MOT was developed by the Generative AI Commons as an implementation of the Model Openness Framework (MOF) to provide model producers and consumers with a practical way to assess how open a model really is. This session will introduce attendees to the MOT and include a demo showing how it can be used along with Hugging Face and GitHub to provide greater understanding of which models are really open.
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