What role do books play in training AI models, and how might digitized books be made widely accessible for the purposes of training AI? What dataset of books could be constructed and under what circumstances? A new paper investigates the concept of a responsibly designed, broadly accessible dataset of digitized books to be used in training AI models.

“Artificial Intelligence” by Oksana Latysheva from NounProject.com is licensed via CC BY 3.0.

CC joins civil society letter urging U.S. to support openness and transparency in AI.

“AI Alignment Assembly” by Jakub Koźniewski for the Open Future Foundation is licensed under CC BY 4.0.

Dear Open Movement Creators, Activists, and Stewards,  A key question facing Creative Commons as an organization, and the open movement in general, is how we will respond to the challenge of shaping artificial intelligence (AI) towards the public interest, growing and sustaining a thriving commons of shared knowledge and culture. So much of generative AI…

Somos El Bien Común" by Eréndira Derbez for Creative Commons, here cropped, licensed via CC BY 4.0.

In the past year, Creative Commons, alongside other members of the Movement for a Better Internet, hosted workshops and sessions at community conferences like MozFest, RightsCon, and Wikimania, to hear from attendees regarding their views on artificial intelligence (AI). In these sessions, community members raised concerns about how AI is utilizing CC-licensed content, and discussions…

Isolated Araneiform Topography, Public Domain Mark. https://flic.kr/p/2prGXV7

Isolated Araneiform Topography, from UAHiRISE Collection on Flickr. Public Domain Mark. AI is deeply connected to networked digital technologies — from the bazillions of works harvested from the internet to train AI to all the ways AI is shaping our online experience, from generative content to recommendation algorithms and simultaneous translation. Creative Commons engaged participants…

The EU’s political institutions announced that they have reached a tentative final agreement. While details are still not finalized and many questions remain regarding treatment of certain high-risk systems, the agreement appears promising relative to the recent Parliament text and from the perspective of supporting open source, open science, as well as on copyright.

Detail from “AI Outputs” by CC0.

In August, the United States Copyright Office issued a Notice of Inquiry seeking public responses to 34 questions (and several sub-questions) about the intersection of copyright law and artificial intelligence. The comment period closed on 30 October with over 10,000 individuals and organizations responding, representing a broad spectrum of interests on how copyright should apply in relation to generative AI. CC joined in the conversation to provide our own thoughts on copyright and AI to the copyright office.

"EU Flag Neural Network" by Creative Commons was cropped from an image generated by the DALL-E 2 AI platform with the text prompt "European Union flag neural network." CC dedicates any rights it holds to the image to the public domain via CC0.

The European Union’s Artificial Intelligence Act will be discussed at a key trilogue meeting on 24 October 2023. CC collaborated with Communia to summarize our views emphasizing the importance of a balanced and tailored approach to regulating foundation models and of transparency in general.

"CC Global Summit 2023 Day 0" by Creative Commons is licensed CC BY 4.0.

On the eve of the CC Global Summit, members of the CC global community and Creative Commons held a one-day workshop to discuss issues related to AI, creators, and the commons. Emerging from that deep discussion and in subsequent conversation during the three days of the Summit, this group identified a set of common issues and values.