Say for example, the Mistral AI approach. The released Mistral 7B and destroyed every other model in its class in performance while giving it a much less restrictive license. They gave zero info about what they trained on... and nobody is asking. A very smart move from both sides that benefits just about everyone.
The only winning move is not to play.
I think the entitlement to the work of others I've seen in software engineering generally has been so gross with regards to this technology. Copyright isn't just some antiquated idea from the middle ages, it's how artists and writers eat. They rightly spiked your paper.
Artist who create unique pieces are not worried about re-prints.
Writers who connect get followers who will pay for there next word.
Artists in the past needed a patron and we have providers today who do that
Besides the clear fair use exemption due to the educational nature of the activity it targets, it's also an activity that a significant amount of judges in the legal system participated in. For that reason, I think that there's very little risk of the dataset being considered "actually infringing". If it were litigated, and this dataset were deemed illegal, than the entire activity itself it targets would be shattered.
But, I can also tell you that I think the majority of people should share their creative things for access to all. I have very little sympathy for artists or writers who are scared of LLMs because LLMs are coming for coders at literally the exact same time, but coders have been open source fanatics ideologically for awhile. It's time for writers and artists to embrace open source. Particularly since so many academic intellectuals have left-wing/socialist sensibilities anyway - it's time for them to practice what they preach.
Seems that the current copyright fights are having a chilling effect in the context of research on language resources and datasets. This is extremely sad. I expected the academic AI world to have a bit more institutional compassion for copyright abolitionism…