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TaXxER t1_j7omop6 wrote

Generative models do redistribute though, often outputting near copies:

https://openaccess.thecvf.com/content/WACV2021/papers/Tinsley_This_Face_Does_Not_Exist..._But_It_Might_Be_Yours_WACV_2021_paper.pdf

https://arxiv.org/pdf/2203.07618.pdf

Copyright does not only cover republishing, but also covers derived work. I think it is a very reasonable position to consider all generative model output o for which some training set image Xi had a particularly large influence on o, to be derived work from Xi.

Similar story holds true for code generation models and software licensing: copilot was trained on lots of software repos that had software licenses that require all derived work to be licensed under an at least equally permissive license. Copilot may very well output a specific code snippets particularly based on what it has seen in a particular repo, thereby potentially opening up the user to the obligation to the licensing constraints that come with deriving work from that repo.

I’m an applied industry ML researcher myself, and am very enthousiastic about the technology and state of ML. But I also think that as a field as a whole we have unfortunately been careless about ethical and legal aspects.

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