Alan Felice’s Post

To capture their full potential, LLMs rely on high-quality content, including books, scholarly journals, news, and a wide range of online and specialty publications. Copies of content are made and stored in the use of AI, and organizations using these technologies face infringement risk.  Join us on October 23 to learn more about how copyright licensing can help reduce infringement risk around AI workflows. https://lnkd.in/gsGGCDzv

Penguin Random House is adding a warning to its books’ copyright pages to prevent them from being used to train AI models. The statement, added to new and reprinted books, prohibits reproducing any part of the books for AI training purposes. This makes Penguin Random House the first major publisher to address AI concerns on copyright pages, though the company is not entirely opposed to AI. They plan to use AI tools selectively, while strongly defending their authors' intellectual property. Subscribe to our Newsletter Plugaiinc.com #AIandCopyright #PenguinRandomHouse #Publishing #AITraining #IntellectualProperty

Unless your context window is already full, you might be interested in the latest issue of the Transatlantic Law Journal (TLJ), which features a special focus on Artificial Intelligence, including a variety of intriguing articles. Among these is "Of Books and Bytes: The Copyright Dilemma in AI Development," co-authored by my colleague Christopher Noll and myself (of course, it is for you to decide whether it fulfils the "intriguing" criterion). It is also available on Beck-Online, so no excuse not to check it out.   We delve into the conditions under which AI companies are permitted to use data for training their models under European law. The article offers an overview of the current state of European regulations and the specific German national legislation pertaining to this matter, as well as presenting some alternatives and perspectives for the future.   The tl;dr? Yes, you can lawfully use copyrighted material for training purposes, but it's messy. (Oh, and if you're curious about whether the article was in fact authored by an AI, you'll never know.) #AI #Copyright #Data #TLJ

HarperCollins has confirmed a licensing agreement with an undisclosed AI company that will “allow limited use of select nonfiction backlist titles for training AI models to improve model quality and performance”, according to an email shared by an author. 👇

Book publisher Penguin Random House is putting language in new books and reprints to prohibit AI being trained by them. Is this in vain? As the first major publisher to add this type of language to their copyright pages, it’s a proactive approach to protecting their writers IP in modern times. Not sure how this demand will be honored by AI models. Perhaps if other publishers continue this trend mounting pressure will require AI governance departments to comply. What are your thoughts? https://lnkd.in/gdWwZU8s #AI #AIethics #ResponsibleAI #deidrewrite #publishing

Should AI generated art be eligible for copyright? Jason Allen, whose AI-generated artwork "Théâtre D'opéra Spatial" won a state fair competition says yes it should be. He is appealing the U.S. Copyright Office's refusal to register his work. The Office claimed the piece lacked sufficient human authorship, as it was mostly created using Midjourney, an AI tool. Allen argues that crafting precise prompts and spending over 100 hours refining the output qualifies as human authorship. 📚 The AI Policy Newsletter: https://lnkd.in/eS8bHrvG 👩💻 The AI Policy Course: https://lnkd.in/e3rur4ff 🔗 Link to article: https://lnkd.in/estgKScg #AIpolicy #ArtificialIntelligence #TechPolicy #AIGovernance

In the evolving world of #AI, it's crucial to question who controls academic content. Even with lucrative licensing deals, the conversation on copyright and the rights of authors has never been more vital. Open access offers transparency and empowers scholars. 📚🤖💡 Read more about the benefits of an open academic landscape. #OpenAccess #AcademicPublishing https://ow.ly/bM8M50UBllg

In the evolving world of #AI, it's crucial to question who controls academic content. Even with lucrative licensing deals, the conversation on copyright and the rights of authors has never been more vital. Open access offers transparency and empowers scholars. 📚🤖💡 Read more about the benefits of an open academic landscape. #OpenAccess #AcademicPublishing https://ow.ly/fama50UB4tn

#ArtificialIntelligence - AI-based applications only grow to full strength if they are fueled with data. It takes robust #training sets and constant #feedback in order to allow the system to #learn. However, most data is subject to proprietary rights, notably copyright. This is why most of the currently pending court cases relating to AI deal with copyright issues. In Germany, the first court to hand down a judgement in this context was the Regional Court of Hamburg (Case Ref.: 310 O 227/23). My dear colleague Alexander Bibi and I took a closer look at the decision and the wider context of #AI and #copyright. The respective article has just been published in the law journal Wettbewerb in Recht und Praxis (WRP). Have a read... https://lnkd.in/er9C-DaK Pinsent Masons, dfv Mediengruppe (Deutscher Fachverlag GmbH), Anna-Lena Kempf, Laura-Charlotte Lingenfelder, Wesley Horion, LL.M., Cerys Wyn Davies, Bella Phillips, Marina Goodman, Stephanie Collard-Hunter, Sophia Headland, Clare Francis, Tom N., Tim D.

Your papers are training AI models Artificial-intelligence developers are buying access to valuable data sets that contain research papers — raising uncomfortable questions about copyright. Anything that is available to read online — whether in an open-access repository or not — is “pretty likely” to have been fed into an LLM already, says AI researcher Lucy Lu Wang. “And if a paper has already been used as training data in a model, there’s no way to remove [it].” Nature | 6 min read #AI #LLM #papers #copyright