I’d say that scraping as a verb implies an element of intent. It’s about compiling information about a body of work, not simply making a copy, and therefore if you can accurately call it “scraping” then it’s always fair use. (Accuse me of “No True Scotsman” if you would like.)
But since it involves making a copy (even if only a temporary one) of licensed material, there’s the potential that you’re doing one thing with that copy which is fair use, and another thing with the copy that isn’t fair use.
Take archive.org for example:
It doesn’t only contain information about the work, but also a copy (or copies, plural) of the work itself. You could argue (and many have) that archive.org only claims to be about preserving an accurate history of a piece of content, but functionally mostly serves as a way to distribute unlicensed copies of that content.
I don’t personally think that’s a justified accusation, because I think they do everything in their power to be as fair as possible, and there’s a massive public benefit to having a service like this. But it does illustrate how you could easily have a scenario where the stated purpose is fair use but the actual implementation is not, and the infringing material was “scraped” in the first place.
But in the case of gen AI, I think it’s pretty clear that the residual data from the source content is much closer to a linguistic analysis than to an internet archive. So it’s firmly in the fair use category, in my opinion.
jerkface@lemmy.ca 9 months ago
I think the distinction between data acquisition and data application is important. Consider the parallel of photography; you are legally and ethically entitled to take a photo of anything that you can see from public (ie, you can “scrape” it). But that doesn’t mean that you can do anything you want with those photos. Distinguishing them makes the scraping part a lot less muddy.