The "AI is theft" debate - An argument The difference between the systems and the human brain has more to do with the systems not being the totality of how a brain works. It's simulating a very specific mechanical aspect of our mind, but as I've mentioned it lacks intention and internal will, which is why inputted prompts need to guide these processes towards a desired goal. If you were able to add different "brain" functions up to the point that the system is operating on identical terms as the totality of our brain, how do laws for humans start to apply on the system? When do we decide it having agency enough to be the one responsible for actions? — Christoffer
So your claim is that adding intentionality to current diffusion models is enough to bridge the gap between human and machine creativity? Like I said before I don't have the ability to evaluate these claims with the proper technical knowledge but that sounds difficult to believe.
Because when we compare these systems to that of artists and how they create something, there are a number of actions by artists that seem far more infringing on copyright than what these systems do. If a diffusion model is trained on millions of real and imaginary images of bridges, it will generate a bridge that is merely a synthesis of them all. And since there's only a limited number of image perspectives of bridges that are three-dimensionally possible, where it ends up will weight more towards one set of images than others, but never a single photo. An artist, however, might take a single copyrighted image and trace-draw on top of it, essentially copying the exact composition and choice of perspective from the one who took the photograph.
So if we're just goin by the definition of a "copy" or that the system "copies" from the training data, it rather looks like there are more artists actually copying than there are actual copying going on within these diffusion models. — Christoffer
Okay, but in most instances artists don't trace.
Copyright law has always been shifting because it's trying to apply a definition of originality to determine if a piece of art is infringement or not. But the more we learn about the brain and creative process of the mind, the more we understand of how little free will we actually have and how influential our chemical and environmental processes are in creativity, and how less logical it is to propose "true originality". It simply doesn't exist. But copyright laws demand that we have a certain line drawn in the sand that defines where we conclude something "original", otherwise art and creativity cannot exist within a free market society. — Christoffer
I don't see how originality is undermined by determinism. I'm perfectly happy to believe in determinism, but I also believe in creativity all the same. The deterministic process that occurs in a human brain to create a work of art is what we call "creativity". Whether we should apply the same to the process in a machine is another issue.
Anyone who studied human creativity in a scientific manner, looking at biological processes, neuroscience etc. will start to see how these definitions soon become artificial and non-scientific. They are essentially arbitrary inventions that over the centuries and decades since 1709 have gone through patch-works trying to make sure that line in the sand is in the correct place.
...So, first, creativity isn't a magic box that produce originality, there's no spiritual and divine source for it and that produces a problem for the people drawing the line in the sand. Where do you draw it? When do you decide something is original? — Christoffer
Indeed the definitions are very arbitrary and unclear. That was my point. It was fine in the past since we all agree that most art created by humans is a creative exercise but in the case of AI it gets more complicated since now we have to be more clear about what it is and if AI generated art meets the standard to be called "creative".
Second, artists will never disappear because of these AI models. Because art is about the communication between the artist and their audience. The audience want THAT artist's perspective and subjective involvement in creation. If someone, artists or hacks who believe they're artists, think that generating a duplicate of a certain painting style through an AI system is going to kill the original artist, they're delusional. The audience doesn't care to experience derivative work, they care only about what the actual artist will do next, because the social and intellectual interplay between the artist and the audience is just as important, if not the most important aspect rather than some derivative content that looks similar. That artists believe they're gonna lose money on some hacks forcing an AI to make "copies" and derivative work out of their style is delusional on both sides of the debate. — Christoffer
Artists will never entirely disappear, I agree. And indeed there will certainly continue be a market for human made art as consumers will generally prefer it. The idea that artists can be "replaced" or could be made "obsolete" simply misunderstand the very concept of art itself which is that it isn't a commodity and short of completely cloning an individual artist, you can never truly make someone who creates art like they do. There are plenty of people who will pay up good money to get a drawing by their favorite artist in spite of the number of human artists who can perfectly replicate their style. This is because they value their work in particular and I don't see the rise of AI changing that.
However the problem is that in today's art industry, we don't just have artists and consumers but middle men publishers who hire the former to create products for the latter. The fact is alot of artists depend on these middle men for their livelihoods and unfortunately these people 1) Don't care about the quality of the artists they hire and 2) Prioritize making money above all else. For corporations artists merely create products for them to sell and nothing more so when a technology like AI comes up which produces products for them for a fraction of the cost in a fraction of the time, then they will more than happily lay off their human artists for what they consider to be "good enough" replacements even if the consumers they sell these products to will ultimately consider them inferior.
There are people who take personal commissions but there are also those that do commissions for commercial clients who may want an illustration for their book or for an advertisement. Already we're seeing those types of jobs going away because the people who commissioned those artists don't care in particular about the end product so if they can get an illustration by a cheaper means they'll go for it.
Then you agree that the training process of AI models does not infringe on copyright and that it's rather the problem of alignment, i.e how these AI models generate something and how we can improve them not to end up producing accidental plagiarism that the focus should be on. And as I mentioned above, such a filter in the system or such an additional function to spot plagiarism would maybe even be helpful to determine if plagiarism has occurred even outside AI generations; making copyright cases more automatic and fair to all artists and not just the ones powerful enough to have a legal teams acting as copyright special forces. — Christoffer
Of course the data collection isn't the problem but what people do with it. It's perfectly fine for someone to download a bunch of images and store it on their computer but the reason why photobashing is considered controversial is that it takes that data and uses it in a manner that some consider to be insufficiently transformative. Whether AI's process is like that is another matter that we need to address.
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Sorry if I missed some of your points but your responses have been quite long. If we're gonna continue this discussion I'd appreciate it if you made your points more concise.