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> That's because you can't find an artist for a generated picture other than the ones in the training set. If you can't find a new artist, then the picture belo
by GuB-42 4y ago
> That's because you can't find an artist for a generated picture other than the ones in the training set. If you can't find a new artist, then the picture belongs to the old ones, so to speak.
It doesn't belong to the "old ones", it is at best a derivative work. And even writing a prompt, as trivial as it might seem, makes you an artist. There are modern artists exposing a random shit as art, and you may or may not like it, but they are legally artists, and it is their work.
The question is about fair use. That is, are you allowed to use pictures in the dataset without permission. It is a tricky question. On one extreme, you won't be able to do anything withing infringing some kind of copyright. Used the same color as I did? I will sue you. On the other extreme, you essentially abolish intellectual property. Copying another artist style in your own work is usually fair use, and that's essentially what generative AI do, so I guess that's how it will go, but it will most likely depends on how judges and legislators see the thing, and different countries probably will have different ideas.
- rendall 4y agoI don't believe it's a tricky question at all: "Did you train your model on an artist's work that has copyright protection without permission?" is the very simple, straightforward question. The fact of its being an AI model is irrelevant.
- efreak 4y agoDid you train _yourself_ on an another artist's work that has copyright protection without their permission? Yes? That's ok, because copyright law doesn't care.
- rendall 4y agoIf you have an argument, spell it out. Machine learning is not human learning. They are not the same. Arguing "because human beings learn" does not lead to the conclusion "therefore training models on an artist's work and thereby producing work that looks like theirs is okay". Or, if that is your argument, you have to do more work than just gesturing vaguely at the word "learning".