Training data can be used "regardless of whether it is for non-profit or commercial purposes, whether it is an act other than reproduction, or whether it is content obtained from illegal sites or otherwise."
You do realize individuals can train neural networks on their own hardware, right? Generative art and generative text is not something owned by corporations — and in fact what is optimistically becoming apparent is that it is specifically difficult to build moats around a generative model, meaning that it’s especially hard for for corporations to own this technology outright — but those corporations are the only ones that benefit from expanding copyright.
Also, I disagree with you also. A trained model is a transformative work, as are the works you can generate with those models. Applying the four factor fair use test comes out heavily on the side of fair use.
@Gutless2615 Of course individuals can train models on their own work, but if they train it on other artists work, that too is an unauthorized use.
Honestly whether AI outputs can be copyrighted is really a separate issue from what I am concerned about… what matters in these cases is where/ how they obtained the inputs on which they trained the models. If a corporation or individual is using other artists works without authorization they are also committing theft, irrespective of any copyright infringement.
And while we’re at it let’s throw out mashup artists, collages, remixes and fair use altogether, huh? You’re just incorrect here, fair use exists for a reason, and applying the four factor fair use test to generative art comes out on the side of fair use nine times out of ten. What’s more, what you’re arguing for will only make it harder for small artists who get spurious accusations lobbed their way or automated take downs from bad “ai detector” software and have to drag out in progress files and lawyer money to argue they didn’t use generative tools in their workflow. There are better ways to make sure artists can still get paid - and, spoiler alert: it’s not just the artists that are going to get hit. We need to embrace more creative solutions to the problems of AI than “copyright harder”
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You do realize individuals can train neural networks on their own hardware, right? Generative art and generative text is not something owned by corporations — and in fact what is optimistically becoming apparent is that it is specifically difficult to build moats around a generative model, meaning that it’s especially hard for for corporations to own this technology outright — but those corporations are the only ones that benefit from expanding copyright. Also, I disagree with you also. A trained model is a transformative work, as are the works you can generate with those models. Applying the four factor fair use test comes out heavily on the side of fair use.
@Gutless2615 Of course individuals can train models on their own work, but if they train it on other artists work, that too is an unauthorized use.
Honestly whether AI outputs can be copyrighted is really a separate issue from what I am concerned about… what matters in these cases is where/ how they obtained the inputs on which they trained the models. If a corporation or individual is using other artists works without authorization they are also committing theft, irrespective of any copyright infringement.
And while we’re at it let’s throw out mashup artists, collages, remixes and fair use altogether, huh? You’re just incorrect here, fair use exists for a reason, and applying the four factor fair use test to generative art comes out on the side of fair use nine times out of ten. What’s more, what you’re arguing for will only make it harder for small artists who get spurious accusations lobbed their way or automated take downs from bad “ai detector” software and have to drag out in progress files and lawyer money to argue they didn’t use generative tools in their workflow. There are better ways to make sure artists can still get paid - and, spoiler alert: it’s not just the artists that are going to get hit. We need to embrace more creative solutions to the problems of AI than “copyright harder”