Wild escalation of digital labor issues in generative AI.

Horrifying stories like this should be in our minds every time we think about AI.

I guess I should be reading this for the jokes, but I hadn’t realized Academia.edu had done this, and I’m so angry at the inspiration for the jokes that I haven’t made it any further.

A few thoughts:

First, it is almost comically mean to use the results of a project collecting AI tells to get LLMs to not sound like that. Like, of all the digital labor exploitations of AI, this might be the pettiest.

Second, AI detection is hard, and for all my concerns with AI, I think this is another good example of why policing its use can do more harm than good. I don’t blame the Wikipedia community for doing this project, but I would never recommend this approach in a classroom.

This morning, while getting ready for the day, I spent some time catching up on podcasts, including Nilay Patel’s interview of Stack Overflow CEO Prashanth Chandrasekhar on a recent episode of Decoder (a podcast I’ve spent a lot more time listening to since it went ad free for subscribers). I ditched the Stack Exchange network a year and a half ago over digital labor concerns—I was literally being prevented from deleting my own content from the site, which is bonkers—and I’m honestly not sure why I bookmarked the interview for listening a few days ago. I think it was more than a hate listen, though: For all of my own feelings about generative AI, I make an effort to be open minded, and I was interested in the headline for the interview: “Stack Overflow users don’t trust AI. They’re using it anyway.”

I missed the detail about Disney+ using some of the Sora output, and that makes this whole thing even more about labor exploitation.

I disagree with the copyright framing here (it’s a labor issue), but otherwise, I think this is a good take.

Involving Disney, who infamously stiffed Alan Dean Foster on Star Wars royalties, so clearly demonstrates how the underlying issue with generative AI isn’t copyright, it’s labor.

This morning on Bluesky, I saw some posts about a class action lawsuit against Anthropic for their use of pirated, copyrighted materials in training their generative AI models. One of the sources of these copyrighted materials was the LibGen database, which I took a peek at nearly six months ago to confirm what I was already sure to be true: that my scientific writing was also collected as training material by companies like Anthropic or Meta. I don’t love that big tech companies are profiting off of my work in this way, and I’m sympathetic to the authors who are taking legal action against Anthropic. However, as I’ve written repeatedly over the past few years (you can find some of those thoughts—and others—by scrolling through here, I don’t know that copyright is the right way of responding to this kind of abuse.

I don’t think copyright is the best argument against generative AI (strengthening copyright law will benefit big companies more than small creators), but “can’t make an AI omelette without breaking a few copyrighted eggs 🤷🤷🤷” is still a depressingly cynical national policy.

Reddit is a really interesting example of digital labor issues as they relate to both social media and AI. I wonder how things will go over the next few years.

What. The. Hell. Is. This. Nonsense.

Fanfiction is one of the most compelling examples of the labor issues related to generative AI.

When I was in grad school, a faculty member in my program told me a story about his then-quite-young son, who was having a grand old time climbing on top of the kitchen table and then leaping off of it to the floor below. (Truth be told, my memories of this conversation are fuzzy, and the son might have been engaged in some otherwise dangerous behavior.) The father tried to tell the son to stop doing this, warning: “You could have hurt yourself!” The son’s response? “But I didn’t!” Sure, the action had been potentially dangerous, but the landing had been a success, and the son didn’t see what the big deal was.

Again, more of religious commentary on AI that emphasizes labor issues.

I haven’t done all the homework on the new pope, and I don’t know how much it makes sense as a non-Catholic to have a take on the new pope, but I’m here for religious leaders who express skepticism about AI specifically as a labor issue, not just in vague spiritual terms.

I think this is a good example of why digital labor is a particularly salient critique of generative AI. Yes, Wikimedia content is licensed, but not as strictly as copyrighted works. Yet, ripping off of their work is arguably worse than grabbing some copyrighted works.

Generative AI products make me mad, I don’t like them, and I’m not going to defend them. That said, if this gets framed as a copyright problem, is there any way to give Studio Ghibli (or Pixar or the Seuss estate) power to cry foul here that doesn’t also shut down fan art, parodies, and the like? I’m skeptical, and that’s why I think “labor” is the more productive—if more legally ambiguous—framing here.

Thanks to this article from The Atlantic that I saw on Bluesky, I’ve been able to confirm something that I’ve long assumed to be the case: that my creative and scholarly work is being used to train generative AI tools. More specifically, I used the searchable database embedded in the article to search for myself and find that at least eight of my articles (plus two corrections) are available in the LibGen pirate library—which means that they were almost certainly used by Meta to train their Llama LLM.

Yeah, it’s really hard to have any sympathy here at all.

Digital labor issues abound in the context of generative AI, but fan labor issues make me particularly angry.

I keep thinking about the similarity of exploitation of academic labor by publishers to the exploitation of everyone’s labor by AI companies, and stories like this just make it more clear.

This is a take on digital labor and datafication that I can honestly say I never expected.

I come from settler colonial stock and, more specifically, from a religious tradition that was (and still is!) pretty keen on imposing a particular identity on Indigenous peoples. I am the kind of person who really ought to be reading more Indigenous perspectives, but I’m also cautious about promoting those perspectives in my writing, lest I rely on a superficial, misguided understanding and then pat myself on the back for the great job I’m doing.

A few months ago, some colleagues reached out to ask if I would be willing to record a guest lecture for our library science program’s LIS 600: Information in Society. In particular, they were interested in having me record something for a week on the digital divide. I am conversant on that topic, but it’s not an area of specialty for me, so I was unsure about it until I realized that some of the readings for that week touch on topics like platform design that I am really interested in through my work on social media communities.