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this post was submitted on 30 Jul 2023
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Technology
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AI art is factually not art theft. It is creation of art in the same rough and inexact way that we humans do it; except computers and AIs do not run on meat-based hardware that has an extraordinary number of features and demands that are hardwired to ensure survival of the meat-based hardware. It doesn't have our limitations; so it can create similar works in various styles very quickly.
Copyright on the other hand is, an entirely different and, a very sticky subject. By default, "All Rights Are Reserved" is something that usually is protected by these laws. These laws however, are not grounded in modern times. They are grounded in the past; before the information age truly began it's upswing.
Fair use generally encompasses all usage of information that is one or more of the following:
In most cases AI art is at least somewhat Transformative. It may be too complex for us to explain it simply; but the AI is basically a virtual brain that can, without error or certain human faults, ingest image information and make decisions based on input given to it in order to give a desired output.
Arguably; if I have license or right to view artwork; or this right is no longer reserved, but is granted to the public through the use of the World Wide Web...then the AI also has those rights. Yes. The AI has license to view, and learn from your artwork. It just so happens to be a little more efficient at learning and remembering than humans can be at times.
This does not stop you from banning AIs from viewing all of your future works. Communicating that fact with all who interact with your works is probably going to make you a pretty unpopular person. However; rightsholders do not hold or reserve the right to revoke rights that they have previously given. Once that genie is out of the bottle; it's out...unless you've got firm enough contract proof to show that someone agreed to otherwise handle the management of rights.
In some cases; that proof exists. Good luck in court. In most cases however; that proof does not exist in a manner that is solid enough to please the court. A lot of the time; we tend to exchange, transfer and reserve rights ephemerally...that is in a manner that is not strictly always 100% recognized by the law.
Gee; Perhaps we should change that; and encourage the reasonable adaptation and growth of Copyright to fairly address the challenges of the information age.
It doesn't change anything you said about copyright law, but current-gen AI is absolutely not "a virtual brain" that creates "art in the same rough and inexact way that we humans do it." What you are describing is called Artificial General Intelligence, and it simply does not exist yet.
Today's large language models (like ChatGPT) and diffusion models (like Stable Diffusion) are statistics machines. They copy down a huge amount of example material, process it, and use it to calculate the most statistically probable next word (or pixel), with a little noise thrown in so they don't make the same thing twice. This is why ChatGPT is so bad at math and Stable Diffusion is so bad at counting fingers -- they are not making any rational decisions about what they spit out. They're not striving to make the correct answer. They're just producing the most statistically average output given the input.
Current-gen AI isn't just viewing art, it's storing a digital copy of it on a hard drive. It doesn't create, it interpolates. In order to imitate a person't style, it must make a copy of that person's work; describing the style in words is insufficient. If human artists (and by extension, art teachers) lose their jobs, AI training sets stagnate, and everything they produce becomes repetitive and derivative.
None of this matters to copyright law, but it matters to how we as a society respond. We do not want art itself to become a lost art.
This is factually untrue. For example, Stable Diffusion models are in the range of 2GB to 8GB, trained on a set of 5.85 billion images. If it was storing the images, that would allow approximately 1 byte for each image, and there are only 256 possibilities for a single byte. Images are downloaded as part of training the model, but they're eventually "destroyed"; the model doesn't contain them at all, and it doesn't need to refer back to them to generate new images.
It's absolutely true that the training process requires downloading and storing images, but the product of training is a model that doesn't contain any of the original images.
None of that is to say that there is absolutely no valid copyright claim, but it seems like either option is pretty bad, long term. AI generated content is going to put a lot of people out of work and result in a lot of money for a few rich people, based off of the work of others who aren't getting a cut. That's bad.
But the converse, where we say that copyright is maintained even if a work is only stored as weights in a neural network is also pretty bad; you're going to have a very hard time defining that in such a way that it doesn't cover the way humans store information and integrate it to create new art. That's also bad. I'm pretty sure that nobody who creates art wants to have to pay Disney a cut because one time you looked at some images they own.
The best you're likely to do in that situation is say it's ok if a human does it, but not a computer. But that still hits a lot of stumbling blocks around definitions, especially where computers are used to create art constantly. And if we ever hit the point where digital consciousness is possible, that adds a whole host of civil rights issues.
This is the process I was referring to when I said it makes copies. We're on the same page there.
I don't know what the solution to the problem is, and I doubt I'm the right person to propose one. I don't think copyright law applies here, but I'm certainly not arguing that copyright should be expanded to include the statistical matrices used in LLMs and DPMs. I suppose plagiarism law might apply for copying a specific style, but that's not the argument I'm trying to make, either.
The argument I'm trying to make is that while it might be true that artificial minds should have the same rights as human minds, the LLMs and DPMs of today absolutely aren't artificial minds. Allowing them to run amok as if they were is not just unfair to living artists... it could deal irreparable damage to our culture because those LLMs and DPMs of today cannot take up the mantle of the artists they hedge out or pass down their knowledge to the next generation.
Thanks for clarifying. There are a lot of misconceptions about how this technology works, and I think it's worth making sure that everyone in these thorny conversations has the right information.
I completely agree with your larger point about culture; to the best of my knowledge we haven't seen any real ability to innovate, because the current models are built to replicate the form and structure of what they've seen before. They're getting extremely good at combining those elements, but they can't really create anything new without a person involved. There's a risk of significant stagnation if we leave art to the machines, especially since we're already seeing issues with new models including the output of existing models in their training data. I don't know how likely that is; I think it's much more likely that we see these tools used to replace humans for more mundane, "boring" tasks, not really creative work.
And you're absolutely right that these are not artificial minds; the language models remind me of a quote from David Langford in his short story Answering Machine: "It's so very hard to realize something that talks is not intelligent." But we are getting to the point where the question of "how will we know" isn't purely theoretical anymore.