Congrats to Cory Doctorow for his seventh consecutive week on the Canadian bestseller list for his newest book, "The Reverse Centaur's Guide to Life After AI"! If you didn't know, right now while supplies last, donors who give $125 USD or more will receive a signed copy of Cory Doctorow’s limited-edition art book, Canny Valley. Canny Valley only had one print run, so this is your chance to get yourself a copy filled with some of Cory's collages made from public domain sources and Creative Commons works. Give today and secure your copy: https://lnkd.in/eNg2BdtM
Creative Commons
Internet Publishing
Mountain View, CA 33,116 followers
The nonprofit behind the licenses and tools the world uses to share. 🌍 Follow us for all things open access.
About us
CC is an international nonprofit organization that empowers people to grow and sustain the thriving commons of shared knowledge and culture we need to address the world’s most pressing challenges and create a brighter future for all. Together with our global community and multiple partners, we build capacity and infrastructure, we develop practical solutions, and we advocate for better sharing: sharing that is contextual, inclusive, just, equitable, reciprocal, and sustainable.
- Website
-
http://creativecommons.org/
External link for Creative Commons
- Industry
- Internet Publishing
- Company size
- 11-50 employees
- Headquarters
- Mountain View, CA
- Type
- Nonprofit
- Founded
- 2001
- Specialties
- copyright, public domain, internet, web, semantic web, rdf, legal, licenses, licensing, open content, free culture, publishing, open access, and education
Employees at Creative Commons
Locations
-
Primary
Get directions
P.O. Box 1866
Mountain View, CA 94042, US
-
Get directions
1866 Mountain View Dr
Belvedere-Tiburon, CA 94920, US
Updates
-
Where can you find great images, audio, and video you can remix and use? And how can you make sure you're using them according to their CC license? If you missed our CC201 webinar, check out the recording and presentation for resources, tips, and some answers to your licensing questions! Recording: https://buff.ly/07Caamb Presentation: https://buff.ly/zNvVaR5
CC201 Finding & Reusing CC Licensed Works | 13 August
https://www.youtube.com/
-
Don't forget: "CC 201: Finding & Reusing CC-Licensed Works" is tomorrow at 10am EDT! This webinar will walk you through the best places to find CC-licensed content, how to reuse works under each license, how to properly attribute, and more. Can't make it? We'll be uploading the recording to YouTube afterwards! https://lnkd.in/euj_42ny
-
We are excited to announce that we will be supporting four regional events for CC’s 25th Anniversary. The events represent regions around the world with groups who are working to advance open knowledge, and we’re delighted to be working with a variety of trusted partners to bring forward these events, including Libre Base, OpenSpeaks, Open Horizons, and the CC25 Nigeria team. Learn more about the upcoming events in our full announcement! https://buff.ly/MihGn1f
-
How do open licensing frameworks interact with Indigenous data sovereignty? What tools and protocols help institutions work ethically with Indigenous collections? How can institutions move from policy commitments to meaningful practice? Our virtual panel on 1 September will feature the authors of "Guidance for Indigenous Collections and Indigenous Data" as they discuss how cultural institutions can apply practical, community-centered approaches to Indigenous collections while balancing openness with respect for Indigenous protocols, consent, and control. The conversation will include Jane Anderson, Maui Hudson, Hop Hopkins, and Corrie Roe, with opening remarks by Brigitte Vézina and moderated by Dee Harris. Local Contexts https://buff.ly/gUMSgxb
-
With over 1,200 attendees, this year's Wikimania gave us space to trade ideas, learn from other open advocates, and think through emerging conversations around AI. Throughout the week, sessions and conversations highlighted both the plurality of views and challenges we face in the current ecosystem, as well as the opportunities to unite around shared goals, ensuring that open knowledge can serve as an antidote to commercialization of the commons. Read our newest blog post for our reflections on the sessions CC hosted as well as the takeaways from the many conversations we were a part of during our week in Paris! https://lnkd.in/eTHRSH_Z
-
Creative Commons reposted this
You can't audit what you can't trace. And right now, most AI systems can't point to what shaped their answer. A recent study found more than 30% of responses from leading search-enabled LLMs gave no attribution at all. OpenMined's Irina - Madalina Bejan and Jack Hardinges co-authored a new piece with Creative Commons, mapping where attribution methods actually stand: RAG citations, Shapley-value scoring, and training-data influence functions. Full breakdown: https://lnkd.in/eigDnvef
-
-
Last call to submit work to CC's 25th anniversary zine! Send us your photographs, poems, reflections, memes, remixes, oral histories, and more by August 15. The theme is "Remix is resistance," celebrating how remix, reuse, adaptation, and sharing challenge power, build community, preserve culture, and imagine more just futures. https://buff.ly/ETmXt38 Not sure where to begin? Attend our next webinar about how to find and reuse CC-licensed material on 13 Aug! https://buff.ly/L4bonVr
-
-
With both Wikipedia and Creative Commons turning 25 this year, our time at #Wikimania 2026 felt especially meaningful. Our shared community has grown through a mutual commitment to openness, access, and shared knowledge, and this past week reaffirmed that commitment as AI continues to reshape how we share online. Thank you to everyone who joined our conference session and workshop, welcomed CC into panel conversations throughout the week, stopped by our booth, or connected with our team. The conversations we had will shape our continued work to balance openness and agency in the age of AI. A huge thank you to Wikimédia France, WikiFranca, and the Wikimedia Foundation for hosting!
-
-
Attribution is the mechanism that lets a piece of knowledge or creativity stay connected to the people who made it possible. When AI systems produce outputs without sources, that connection breaks, making it harder to trust the information, verify accuracy, or give credit. In March, we released Attribution & AI Outputs, an issue brief examining why attribution in AI systems is so often difficult to get right. In our new blog post, Jack Hardinges and Irina Bejan take that question further, sharing reasons to be optimistic that AI systems can, in fact, credit their sources.