VOSSIUS’ Post

#ArtificialIntelligence & #Copyright - The Council of the European Union is currently looking at the interplay of #AI and copyright. The respective working group is particularly looking at the text and data mining exception. According to a leaked document the discussion focused on the use of copyright-protected content for the training of AI models, the opportunity of IP protection of copyright-generated content, #watermarking of AI-generated content, especially when there is a significant human input, #remuneration schemes for rightsholders and a specific #liability regime for infringements in the context of Gen AI. Read more in a fine article co-authored by my dear colleagues Maureen Daly and Sarah Power and published on Out-Law News: https://lnkd.in/ejJiHnzC) Pinsent Masons, Florian Traub, Judith Krens, Jo Alderson, Tom N., Cerys Wyn Davies, Bella Phillips, Anna Flanagan

“… According to a leaked document the discussion focused on the use of copyright-protected content for the training of AI models, the opportunity of IP protection of copyright-generated content, #watermarking of AI-generated content, especially when there is a significant human input, #remuneration schemes for rightsholders and a specific #liability regime for infringements in the context of Gen AI.”

If you want to learn more about the legal implications of the intersection of Generative AI and intellectual property, we have you covered with Part 2 of our in-depth series: Generative AI and Intellectual Property II: Copyright Implications for AI Inputs and Outputs. https://lnkd.in/eRvzDJ_Q In this IAPP - International Association of Privacy Professionals article, Brenda Leong, Ekene Chuks-Okeke, and Natalie Linero continue their discussion on applying the fair use doctrine to emerging GenAI technologies through recent cases and the court’s interpretation by exploring: 🔍The fair use analysis in terms of copyrighted materials used to train AI 🔍Copyright infringement and lawsuits against GenAI companies 🔍Copyright authorship for AI-generated works Make sure to read Part 1 of this series, available here https://lnkd.in/eVk5NPeu. Stay tuned for more insights on rising legal issues in the AI space from our experts at Luminos.Law. #IntellectualProperty #Copyright #GenerativeAI #AI #FairUsedoctrine #ailaw #responsibleai #aigovernance

🌟 𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐍𝐞𝐰𝐬 𝐟𝐫𝐨𝐦 𝐈𝐋𝐄𝐎! 🌟 We are thrilled to announce that our ILEO’s researcher Vincenzo Iaia has recently been nominated as part of the 𝐜𝐨𝐩𝐲𝐫𝐢𝐠𝐡𝐭 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐠𝐫𝐨𝐮𝐩 at the 𝐀𝐈 𝐎𝐟𝐟𝐢𝐜𝐞 for drafting the Code of Practice for general-purpose AI models. The code will detail the obligations for general-purpose AI models to comply with the AI Act rules. After 9 months of iterative work, the final version of the first Code of Practice will be presented in a Closing Plenary, expected to take place in April, and published. This marks a significant step forward as we continue our work on the interfaces between 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 and 𝐢𝐧𝐭𝐞𝐥𝐥𝐞𝐜𝐭𝐮𝐚𝐥 𝐩𝐫𝐨𝐩𝐞𝐫𝐭𝐲 𝐥𝐚𝐰, focusing on the ethical implications and evolving governance models. Vincenzo and our Director Christophe Geiger have contributed to key publications on these topics, including recent works on the policy options to address the blossoming intersections of copyright and AI: - Christophe Geiger and Vincenzo Iaia, Towards an Independent EU Regulator for Copyright Issues of Generative AI: What Role for the AI Office (But More Importantly: What's Next)?, forthcoming in Auteurs & Media 2024, preprint available here: https://lnkd.in/dRPK4mSi. - Christophe Geiger and Vincenzo Iaia, The Forgotten Creator: Towards a Statutory Remuneration Right for Machine Learning of Generative AI, in Computer Law & Security Review, vol. 52, 2024, 1-9, https://lnkd.in/d3ikK9Xt. - Christophe Geiger, Elaborating a Human Rights-Friendly Copyright Framework for Generative AI, in International Review of Intellectual Property and Competition Law, vol. 55, 2024, 1129-1165, https://lnkd.in/e_ZAdJk8. At ILEO, we are committed to exploring cutting-edge issues in 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐥𝐚𝐰 and 𝐞𝐭𝐡𝐢𝐜𝐬, and we do not only want to follow the debate but also influence it. Stay tuned for more updates on our work in this fascinating area! #AI #CopyrightGovernance #InnovationLaw #EthicsInTech

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. 👇

"AI firms often trawl or "scrape" sources like fiction and non-fiction books, newspapers, and social media to train their AI models, which has already caused plenty of legal controversies. Alongside Simon & Schuster, Hachette, HarperCollins, and Macmillan Publishers, Penguin Random House is considered one of the "Big Five" English language publishers, controlling 80% of the US book trade as of 2022. Penguin has amended the copyright wording on all its titles worldwide and across all its imprints. It now reads: "No part of this book may be used or reproduced in any manner to train artificial intelligence technologies or systems." According to The Bookseller, the new wording will appear on all its new titles and any reprinted old titles."

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

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

There has understandably been a lot of focus on copyright and licensing for AI models. But what happens to other interest holders? For example, owners and custodians of Indigenous Cultural and Intellectual Property (ICIP) are often not the copyright holders of works which hold ICIP. And the copyright in publicly funded research is often not held by academics, universities or governments. Should they have a say in their works being used for training models? We (the Australian Library and Information Association) explored some of the challenges with an over-reliance on licensing solutions in our recent submission to the adoption of AI inquiry - https://lnkd.in/gzMpZ4T9 #copyright #AI #LibrariesTransform

Exciting news for those interested in trustworthy AI! My co-author Mohamad Nasr-Azadani has updated our white paper with new content on the subject of copyright, web-crawled Datasets and other minor corrections. Check it out at the following link: https://lnkd.in/ef7J2cCg. #AI #TrustworthyAI #Copyright #Datasets #ResearchUpdate