In retrospect, and my advice to others, would be to try to get derived data rights way early on before there are big sums of money involved that make everyone greedy.
Derived has so many meanings.
In this case, the transformations are the 0s and 1s (diagnoses labels) affecting a convolutional neural network to fit to these 0s and 1s and a set of network weights that result.
That said, lots of things start getting confusing, when confusion means owners of the data might make millions off an acquisition.
In this case, it was medical data. The owners were technically the sovereign that licensed the medical data to us. But technically, the medical images had been read by independent doctors who only granted an upstream license to the sovereign to use their reads for medical diagnoses for patient welfare -- not to downstream license the reads to help someone else train a model to theoretically put doctors out of business.
With AI in general and neutral networks specifically the same applies. There's some nuance to decide if the copyright belongs to the person who trained the network or the person who prompted this specific output. The easy solution is to say "both", and let people handle it with copyright assignments and license agreements.
When we have AGI that thinks for itself we might want to rethink this, but that's in the far future.
That's not a creative act you did. We all do that.
How do they handle this now with writers and painters who imitate other artists?
I think the problem the GP highlights is roughly analogous to the case where an artist takes all of their samples from the album of one person and uses it to create a new song that sounds like the original artist made it. That’s a different thing entirely from taking a sample from one artist and a sample from another and then combining them with a new original beat and layering on some other original tracks.
Repainting or rewriting your work in different style would be a derivative work, but painting or writing a different work in your style would not be.
I think the more important question is about ownership and society. If an AI can produce value, does that value accrue to the owner of the AI?
If yes, then we're in for another round of "let's sack all the workers and replace them with machines". Historically these haven't been fun, and have produced massive inequality, but eventually they produce richer, better-educated societies.
If no, and we say (for instance) that "all value produced by an AI is public property", then we'd head off the beaten track, and possibly to a more equitable society. Or somewhere different, at least.
Can the same be said for AI/ML as they exist today? I'm not sure.
The fact remains, AI needs to be developed and trained by someone, and that completely affects the resultant "artwork". That's why people use the "photographer and camera" analogy. Does the Dev not deserve credit for their work?
(A thought experiment that I just came up with, not sure if it makes sense: Say you and I are locked in a room for a prolonged period of time. I tell you a bunch of stuff and you make some art based on it. Following the photographer/camera analogy, can it be said that you are my "tool"? Can I claim rights to what you come up with?)
This was actually decided already. PETA sued on behalf of the monkey, and lost. The courts ruled that only humans can own copyrights. However, the issue of whether the photograph is copyrighted by the photographer or in the public domain was not decided. Personally I think that the photographer could likely win the copyright based on the effort he put into the setup, if he got a good enough lawyer.
To answer your thought experiment: Should an Art Teacher get copyright rights on all their students' work? (what you propose is effectively art college)
Agiain, to my mind the problem comes when someone (let's call him The Baron) employs a hundred Devs to make an AI that provides cheap legal advice, based on public-domain court records. People get cheap legal advice (society wins). The Devs get paid for their professional labour. A million lawyers go out of business. The Baron becomes astonishingly rich.
Should The Baron get all that value? Should the Devs? Should the out-of-work lawyers?
In quite a lot of cases they do (or at minimum the right to reproduce and distribute such at will without compensating the originator of the work).
https://www.trademarkandcopyrightlawblog.com/2012/05/bear-an...
https://designobserver.com/feature/who-owns-student-work/126...
https://www.huffpost.com/entry/who-owns-student-artwork_b_64...
My mother got hit with this when she tried to patent the seamless sweater invention she had - suddenly the university stepped in and said it was their invention. Sure enough, she'd signed over all copyright when she started the course.
but just because it happens now doesn't mean it's morally correct. In an ideal world, do we want this?
"Do I try to make my career defining art now or do I use this time to explore a variety of subjects and mediums?"
The fact the artist doesn't own the copyright to this early work tilts the question to the latter statement.
I don’t see why this would be different from an AI.
If you streamed your sunset shot and I walked into shot, can I sue you for using my likeness without my permission?
And how does this work with DeepFakes? If I DeepFake Sting's head denying climate change, can he sue me for likeness rights?
I've seen stuff like https://www.thiswaifudoesnotexist.net/ - It's both impressive and not. Sure, it's "new" and "Unique" every time, but if you were to take a trained eye to it, you'd see that a bunch of what it's done are very simple derivatives of an already derivative artform. Do I know which image it's stolen the basic shape from and which it's stolen the color palette? No, but if I spent a few hours looking through the training dataset I'd probably find another image that looked almost exactly like the one I'm looking at. These things are impressive because they can fool a cursory glance, and quite frankly, that's often enough.
The general assumption is that machine learning models trained on some data are (usually - details matter) not considered derivative work from that data; so unless you have specific contractual restrictions (e.g. you got the date bacause you have a contract with the data owner saying what you'll do/not do with the models derived from it) then copyright does not prohibit you from using and distributing these models. That's the case even if it's trained on a particular dataset with a single, clear copyright owner.
It probably starts with old precedent on copyrightability of statistics derived from creative work - things like word frequency, most common words, etc are not considered derivative works.
Then we have statistical language models, of the kind that were used in statistical machine translation before the neural approaches overtook everything - and again, the established interpretation there is that statical models trained on a corpus are not considered derivative work from that data, because they essentially are a trivial extension of word sequence frequency counts... but they already are in the category of "feed all 7 books of Harry Potter into an AI, and only that, and then it spits out something", e.g. a simple hidden Markov model or trigram language model from Harry Potter books will easily hallucinate (very lousy quality) Potter-themed text, but the model that can do that is not considered derivative work.
Though this all may vary in different jurisdictions.
If you look at nearest-neighbor lookups in papers like BigGAN, you'll see that for all the apparent 'simple derivatives', you will see that it is actually quite difficult to find "another image that looked almost exactly like the one I'm looking at". Similar, certainly, recognizably the same character, absolutely (particularly well-represented ones like Touhou characters), but exactly? And if they were purely copying specific points, the interpolations would not work. (It would also be a lot easier to reverse a given image into the latent vector to edit it.)
Also I wonder what defines created. If I create a program that can generate every possible variation of x, do I get copyright when the program is run or do the results have to be saved. Or do I get copyright over the output of my program before it has even run since the result of the program is fixed we can know it would have resulted in the output even if it was never run. What if I just make a webserver with unlimited pages and given the correct url is entered it can output any result at all. That data was available on my website since it was created so do I have copyright over it?
If we allow the output of programs which were not extensions of the users input (photoshop, a text editor) than in theory my program that outputs random numbers now has copyright over every possible work that could ever be created.
If a crawler came along (like archive.org) it might index all permutations, giving you some evidence of when your site “coined” a phrase.
The app may want to consult a recent USPTO dump you avoid known trademarks and copyrights. Sounds like a fun exercise.
This reminds of infinite monkey theorem.
[1]https://libraryofbabel.info/ [2]https://en.wikipedia.org/wiki/Infinite_monkey_theorem
Now as for using AI and AI-based writing tools like the GPT2 program that autocompletes sentences for writers is no different then an artist tool like you said. https://transformer.huggingface.co/
This discussion is on it's first steps and has a long way to go yet.
Same thing when it comes to improperly trained/developed AI causing accidents or loss of life.
Probably a good thing general purpose AI is still a few decades away at this point. Society is not ready for the rights implications. Not that I really expect people to have better answers to this in the future.
Its not that novel. Take a Corporation it may hire an employee, or contractor - or even unpaid intern - and have them develop copy all day long. That copy will be owned by the Corporation in the future, even if the employee/contractor/intern ceases to work for said Corporation (even if said employee/contractor/intern ceases to exist their work will be owned by said Corporation).
Algorithms are already creating media of all kind (videos, articles, music) and that media is all subject to the same copyright protections as man-made media, replacing algorithm with AI (which seems to be the popular thing to do with SV startups these days, doesn't create Earth shattering facts the law hasn't seen, its just like when the blockchain believers thought DAO code was the law outside the jurisdiction of courts and regulators)
It turns out the AI's conquer humanity not through violence, but by highly optimized IP trolling. Hell, we already have a flavor of this on Youtube, where algorithms flag content all day long with little recourse for innocent victims.
I think until an AI expresses a wish for something else, we should assume all AI generated work is in the public domain.
An AI isn't necessarily under control of the person that owns it.
Who do you think owns the copyright of the famous monkey photo? It was the monkey that composed and took the shot. The person who owned the camera had no control over the creative aspects of the shot.
Friendly reminder not to treat AI like humans. Ever.
If we treat AI just like any another artist's tool, I don't see why it should stop the owner/maker of said AI from copyrighting what it comes up with. As the article point out, as it exists, even AI needs significant human involvement to actually get something done.
I guess one argument that one might make is that those upon whom the AI is trained have might have rights to claim authorship, but think about it. If I, as a human, am inspired by your work, you still don't get rights to my work. Why should it be any different with the AI I use, as long as the resultant artwork is sufficiently different from yours?