FSF is working on freedom in machine learning applications
Quoting: FSF is working on freedom in machine learning applications —
After several conversations about the responsibility of the FSF in this discussion, serious work to come to a unanimous conclusion started in May of this year. That work has now concluded, and the working group is currently working to draft the exact text that will form the definition of a free machine learning application.
All software included in a free ML application has to offer every user the four freedoms that define free software. This applies to both the software that processes training data, and the software that interprets model parameters as context for prompts to produce human-usable output. This is necessary but not sufficient. Additionally, given our current understanding of ML applications, we believe that we cannot say a ML application "is free" unless all its training data and the related scripts for processing it respect all users, following the four freedoms. In addition, granting users the four freedoms may translate into a demand that the ML application's release includes the model parameters that represent its training, and that users are permitted to use and redistribute the parameters and modified versions of them.