- cross-posted to:
- privacy@lemmy.ml
- cross-posted to:
- privacy@lemmy.ml
ChatGPT is full of sensitive private information and spits out verbatim text from CNN, Goodreads, WordPress blogs, fandom wikis, Terms of Service agreements, Stack Overflow source code, Wikipedia pages, news blogs, random internet comments, and much more.
It doesn’t have to have a copy of all copyrighted works it trained from in order to violate copyright law, just a single one.
However, this does bring up a very interesting question that I’m not sure the law (either textual or common law) is established enough to answer: how easily accessible does a copy of a copyrighted work have to be from an otherwise openly accessible data store in order to violate copyright?
In this case, you can view the weights of a neural network model as that data store. As the network trains on a data set, some human-inscrutable portion of that data is encoded in those weights. The argument has been that because it’s only a “portion” of the data covered by copyright being encoded in the weights, and because the weights are some irreversible combination of all of such “portions” from all of the training data, that you cannot use the trained model to recreate a pristine chunk of the copyrighted training data of sufficient size to be protected under copyright law. Attacks like this show that not to be the case.
However, attacks like this seem only able to recover random chunks of training data. So someone can’t take a body of training data, insert a specific copyrighted work in the training data, train the model, distribute the trained model (or access to the model through some interface), and expect someone to be able to craft an attack to get that specific work back out. In other words, it’s really hard to orchestrate a way to violate someone’s copyright on a specific work using LLMs in this way. So the courts will need to decide if that difficulty has any bearing, or if even just a non-zero possibility of it happening is enough to restrict someone’s distribution of a pre-trained model or access to a pre-trained model.
Sure, which would create liability to that one work’s copyright owner; not to every author. Each violation has to be independently shown: it’s not enough to say “well, it recited Harry Potter so therefore it knows Star Wars too;” it has to be separately shown to recite Star Wars.
It’s not surprising that some works can be recited; just as it’s not surprising for a person to remember the full text of some poem they read in school. However, it would be very surprising if all works from the training data can be recited this way, just as it’s surprising if someone remembers every poem they ever read.
I don’t think it really matters how accessible it is, what matters is the purpose of use. In a nutshell, fair use covers education, news and criticism. After that, the first consideration is whether the use is commercial in nature.
ChatGPT’s use isn’t education (research), they’re developing a commercial product - even the early versions were not so much prototypes but a part of the same product they have today. Even if it were considered as a research fair use exception, the product absolutely is commercial in nature.
Whether or not data was openly accessible doesn’t really matter - more than likely the accessible data itself is a copyright violation. That would be a separate violation, but it absolutely does not excuse ChatGPT’s subsequent violation. ChatGPT also isn’t just reading the data at its source, it’s copying it into its training dataset, and that copying is unlicensed.
Actually, the act of copying a work covered by copyright is not itself illegal. If I check out a book from a library and copy a passage (or the whole book!) for rereading myself or some other use that is limited strictly to myself, that’s actually legal. If I turn around and share that passage with a friend in a way that’s not covered under fair use, that’s illegal. It’s the act of distributing the copy that’s illegal.
That’s why whether the AI model is publicly accessible does matter. A company is considered a “person” under copyright law. So OpenAI can scrape all the copyrighted works off the internet it wants, as long as it didn’t break laws to gain access to them. (In other words, articles freely available on CNN’s website are free to be copied (but not distributed), but if you circumvent the New York Times’ paywall to get articles you didn’t pay for, then that’s not legal access.) OpenAI then encodes those copyrighted works in its models’ weights. If it provides open access to those models, and people execute these attacks to recover pristine copies of copyrighted works, that’s illegal distribution. If it keeps access only for employees, and they execute attacks that recover pristine copies of copyrighted works, that’s keeping the copies within the use of the “person” (company), so it is not illegal. If they let their employees take the copyrighted works home for non-work use (or to use the AI model for non-work use and recover the pristine copies), that’s illegal distribution.
I’m going to need you to back that up with a source. Specifically, legislation.
What you’re getting at here is the fair use exemption for education or research, which I have already explained. When considering fair use, it has to be for specific use cases (education, research, news, criticism, or comment). Then, after that, the first thing the court considers is whether the use is commercial in nature. The second is the amount of copying.
You checking a book out of a library and copying down a passage will almost certainly be education/research, and probably noncommercial, so it will most likely be fair use. Copying the whole book might also be fair use, but it is less likely to be so. Copying a book for a commercial report is far less likely.
The fact that it’s “strictly limited to yourself” has no real bearing in law. Like I say, this isn’t research - they’re not writing academic papers and releasing their dataset for others to reproduce and prove their work - and even the earliest versions of their training have some presence in the existing commercial product they have developed. Their use is thus not research, so not fair use, and even if you considered it as research it is highly commercial in nature and they are copying full work into their training dataset.
Bringing in the whole “the law treats corporations as people” is further proving you don’t really know how IP law works. Just because something is published and freely accessible does not give the reader unlimited copyright to it. Fair use is an extremely limited exemption.