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- cross-posted to:
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Generative AI Has a Visual Plagiarism Problem::Experiments with Midjourney and DALL-E 3 show a copyright minefield
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Ha, Ho. Steamboat Mickey says fuck your copyright.
(also no shit, AI images are just made from all the training data given to them)
“But we made the AI explicitly to obfuscate the fact that we used copyrighted images! Er ahem. I mean… YOU CAN’T PROVE ANYTHING!”
Be careful, Steamboat Willie may be public domain, but I don’t know if Steamboat MscMahion Ysarai is.
They can’t catch you if you can’t spell (I assume AI would tell me this).
This has been known for a long time. The main point of contention now will be who is liable for infringing outputs. The convenient answer would be to put the responsibility on the users, who would then have to avoid sharing/profiting from infringing images. In my opinion this solution can only apply in cases where the model is being run by the end user.
When a model is served online, locked behind a subscription or api fee, the service provider is potentially selling infringing works straight to the user. Section 230 will likely play a role, but even then there will be issues in the cases where a model outputs protected characters without an explicit request.
This is literally it it’s really not that complicated. Training Data set is not an infringement of any of the copyright rights. Generating copyright infringing content is still possible, but only when the work would otherwise be infringing. The involvement of not of AI in the workflow not some black pill that automatically makes infringement, but it is still possible to make a work substantially similar to a copyrighted work.
No shit, Sherlock. Literally everything an AI makes is a derivative work of everything in the training dataset. It’s completely 100% impossible for any AI to create anything that isn’t copyright infringement unless every single thing in the data set is licensed in a way that is both (a) mutually-compatible and (b) allows derivative works to be made. In other words, if the dataset includes even a single copyleft thing then the resulting output had better be copyleft, if the dataset includes even a single proprietary thing then the owner of the resulting output had better comply with the terms of that proprietary license, and if the dataset contains both then you might as well delete the trained model and start over because legal use of the output is impossible.
Do human artists not take any influence from art they’ve seen before? I could name you the photographer, Serge Ramelli, that has influenced me the most and if you compare our photos it’s quite apparent. Is my art just a hoax?
