this post was submitted on 04 Jan 2024
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Programming
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I tend to support this idea. If inputting copyrighted materials isn't infringement then neither should taking the output be.
Copyright was due for an overhaul globally for decades. Now the system is on the verge of breaking down.
laundering copyleft inputs into copyrighted outputs sucks tho. This has been happening before AI, but I think that any form of violating GPL, CC-NC or CC-ND should be punished.
In the US, at least, AI works are inherently public domain. Because copyright only applies to works with a human author.
Yeah, that makes a lot of sense. If the thinking is that AI learning from others' works is analogous to humans learning from others' works then the logical conclusion is that AI is an independent creative, non-human entity. And there is precedent that works created by non-humans cannot be copyrighted. (I'm guessing this is what you are thinking, I just wanted to think it out for myself.)
I've been thinking about this issue as two opposing viewpoints:
The logic-in-a-vacuum viewpoint says that AI learning from others' works is analogous to humans learning from others works. If one is not restricted by copyright, neither should the other be.
The pragmatic viewpoint says that AI imperils human creators, and it's beneficial to society to put restrictions on its use.
I think historically that kind of pragmatic viewpoint has been steamrolled by the utility of a new technology. But maybe if AI work is not copyrightable that could help somewhat to mitigate screwing people over.
allow me to introduce you to the pragmatic and idologically consistent viewpoint, that human creativity is unique and not comparable to ai creativity. Humans draw from experiences and memories, and have a unique perspective that is introduced to their art, while ai just churns through thousands of images and tries to replicate them. Dont assume that just because the results are impressive, that ai creativity is analogous to human creativity.
Just to point out, but AI training is very different from humans learning so drawing parallels between the both does not make much sense