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Attribution in the Age of AI
by Jack Hardinges, Irina Bejan Licenses & Tools, Sustaining the Commons Image by Diego Delso is licensed under CC BY-SA 4.0 via Wikimedia Commons.
Attribution has always been a cornerstone of working with other people’s creativity and knowledge. As Creative Commons reminds us, practicing attribution serves many important functions, from providing verifiable evidence of a claim, to paying respect to the work of others, and creating pathways for traffic and financial value to flow. Despite the importance of attribution, many of today’s AI systems fail to acknowledge the sources of knowledge and creativity that make them possible.

Takeaways from a London Workshop on CC Signals
by Sarah Hinchliff Pearson Licenses & Tools"London King's Cross rainbow light tunnel" by The wub, here remixed, is licensed under CC BY-SA 4.0.
At the recent Founders Fireside Chat, Creative Commons founder Lawrence Lessig referred to himself as “hopelessly naive.” It struck me that this sort of naivete—the kind that is about believing in the potential for good when sharing knowledge with other humans—is the glue that holds the entire Creative Commons movement together, across borders and belief systems.

From Signals to Infrastructure: Strengthening the Commons for the AI Era
by Anna Tumadóttir, Sarah Hinchliff Pearson Licenses & Tools, Policy
In this post, we outline our plans to build upon and strengthen CC signals in order to support our goal of sustained access to human knowledge. We do not have all the answers yet. What we do have is a framework for how we will work toward them.

Update on CC Signals: What Changed and Why
by Creative Commons Licenses & Tools, Policy
It’s been a while since we last shared an update on CC signals and our work around AI and the commons. Over the past several months, we’ve been deep in research, in conversation, and in active collaboration with communities, policymakers, and practitioners. We took the time to understand where power is consolidating, where harms are emerging, and where meaningful intervention is actually possible. We are now at a point where we believe we can act in ways that will have real impact.

CC Licenses, Data Governance, and the African Context: Conversations and Perspectives
by Rebecca Ross, Anna Tumadóttir Licenses & ToolsWoman's ceremonial overskirt by a Kuba artist, ca. 1900, CC0, The Met.
Over the past year, we’ve been engaged in a series of conversations with a small group of researchers specializing in IP, AI policy, and data governance about what CC licensing means—and does—in African contexts today. What started as an organic exchange in various spaces has revealed something larger: a strong appetite to move these conversations into the open. At stake are not only questions about CC licenses but deeper issues of data sovereignty, equity, governance, and power in global knowledge systems.

CC Signals: What We’ve Been Working On
by Sarah Hinchliff Pearson Licenses & ToolsDistorted Forest Path by Lone Thomasky & Bits&Bäume, licensed with CC BY 4.0.
As we look back on 2025, it’s clear that the internet as we know it is changing. Information is being removed from the web or locked away. We are experiencing a crisis in the commons, driven in part by current AI development practices. New systems are emerging in response—from content monetization schemes and licensing agreements designed to protect large rightsholders, to the ongoing morass of lawsuits about how AI services are using content as data. We are in the midst of a major reconfiguration of how we share and reuse content on the web.

Integrating Choices in Open Standards: CC Signals and the RSL Standard
by Anna Tumadóttir Licenses & Tools, Sustaining the Commons"Studying" by Dr. Matthias Ripp, March 2022, CC BY 2.0, Flickr.
At Creative Commons, we’ve long believed that binary systems rarely reflect the complexity of the real world—nor do they serve the commons very well. The internet, like the communities that built it, thrives on nuance, experimentation, and shared stewardship. That’s why we’re continuously working to introduce choice where there has been little, and to advocate for systems that acknowledge the diversity of values and needs across the web.

AI and the Commons: A Reading List
by Jack Hardinges, Rebecca Ross, Sarah Hinchliff Pearson Licenses & Tools Distorted Forest Path © 1999 by Lone Thomasky & Bits&Bäume is licensed under CC BY 4.0
Distorted Forest Path © by Lone Thomasky & Bits&Bäume is licensed under CC BY 4.0 Here at CC, we have the goal of defending and sustaining the digital commons in the face of developments in artificial intelligence. We’ve recently introduced a new framework, CC signals, to offer a new way for stewards of large collections…

We Asked, You Answered: How Your Feedback Shapes CC Signals
by Rebecca RossLicenses & Tools, PolicySignals © 2021 by Hugo Parasol is licensed under CC BY-NC-SA 4.0
Signals © 2021 by Hugo Parasol is licensed under CC BY-NC-SA 2.0 In June we kicked off a public feedback period on our proposal for CC signals. CC signals is a preference signals framework designed to sustain the commons and ensure the continued sharing of knowledge in the age of AI. The goal is to…

Why CC Signals: An Update
by Creative CommonsLicenses & Tools, PolicyCC Signals - An Update © 2025 by Creative Commons is licensed under CC BY 4.0
CC Signals – An Update © 2025 by Creative Commons is licensed under CC BY 4.0 Thanks to everyone who attended our CC signals project kickoff last week. We’re receiving plenty of feedback, and we appreciate the insights. We are listening to all of it and hope that you continue to engage with us as…

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