Recently, I went to the Creative Commons Summit in Mexico City. I had never been to Mexico City, but it was my second international trip in about a month, which was exciting, as my passport needed to be broken in.
The conference’s theme was AI and the Commons. I learned that I have a lot to learn. I went to sessions on AI and Copyright, AI and OER, and AI and Open Knowledge. I met interesting people. Initially, I was surprised at the number of lawyers at the conference, but it makes sense given that creators are working to protect their intellectual property from being harvested by AI. It seems like there are more questions than answers right now about how AI will impact openly licensed materials and other folks’ intellectual property.
The sessions I went to explored the questions and potential impacts of AI. For example, in a session on AI and copyright, Ryan Nishimoto, an Intellectual Copyright lawyer from L.A. talked about some of the questions facing AI companies:
From a US law perspective, the questions come from a broad spectrum: creators, tech folks…and the non-expected folks like people whose works intersects with implications from AI. Facebook had trouble with privacy issues. Any company that gathers data is sitting on a wealth of information. Clients are looking to use this wealth of data from any social media platform. They want to scrape the data. Those questions are yet to be wrestled with. In terms of AI, we have only started to scratch the issues.
What folks seemed to agree on is that the legal boundaries of AI are being tested in a similar way as previous technologies. James Grimmelman, a lawyer, Cornell professor, and author of the Internet Casebook, compared AI and the rise of Google books in terms of unanswered questions:
Google books was sued by authors and publishers. Machine analysis of human creativity. The assumption was that machine use…fell under fair use. The arrival of generative AI has unsettled that. Machines trained on creativity. Some of those are very different in training. Outputs of generative AI are not in a separate tech sphere but coming back into the human sphere. AI has been trained as AI. How do we treat the outputs of creative products?
Laws move much slower than innovation. I am glad that creators are trying to draw boundaries around their intellectual property. That might not be the most popular opinion for an OER Librarian as I also like free and open IP.
When I was in Mexico City, I also did some fun stuff, like going to the Frida Kahlo Museum. And I had warm and toasty mezcal shots that I chased with oranges and Tajin. Down below, you’ll find more colorful pics from my trip.
Leave a comment