Creative Commons has been exploring questions around artificial intelligence for a long time: how this profound technological shift might affect people’s motivations to share, whether the intentions behind sharing work before AI became mainstream still hold when we consider how those works are being used now, and how we sustain a thriving commons when the fundamental bargain of the open web has shifted.

Creative Commons (CC) is happy to announce the launch of a new publication entitled Guidance for Indigenous Collections and Indigenous Data: Recommendations from Creative Commons and Local Contexts. This publication is the result of a collaboration with Local Contexts, as both organizations share commitments to equitable knowledge sharing, proper attribution, and respect for diverse cultural and community protocols. It aims to support cultural heritage institutions (CHIs) in navigating the complex legal, ethical, and cultural issues regarding open access to Indigenous heritage and associated data. 

Since 2002, Creative Commons (CC) licenses have served as legally enforceable tools for digital sharing. Beyond their functionality, they also signal a commitment to open sharing in the public interest.  CC’s general guidance has been to acknowledge and support all valid uses for each of our current six licenses and two public domain tools.  

The recent emergence of generative artificial intelligence (AI) has had a phenomenal impact on CHIs, especially as the content they steward is accessed and used for AI development. One key question centers on the conditions, norms, and expectations governing the use of openly licensed and public domain cultural heritage materials as data for AI development.

As the United Nations General Assembly (UNGA) convenes its 81st session in New York in September, Creative Commons is bringing together leading civil society and digital rights organizations for “A Conversation on Collaboration,” a day-long symposium examining how to balance digital sovereignty with open collaboration.

We are excited to announce that we will be supporting four regional events for CC’s 25th Anniversary—representing regions around the world with groups who are working to advance open knowledge. We’re delighted to be working with a variety of trusted partners and look forward to sharing more about their plans and reporting back on how these events went. 

With both Wikipedia and Creative Commons turning 25 this year, our participation in Wikimania 2026 felt especially meaningful. A quarter-century in, both organizations have evolved from scrappy experiments to global infrastructure. Our community has grown through a shared commitment to openness, access, and knowledge. The weeklong conference reaffirmed that commitment as AI is reshaping how we access knowledge and share online.

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.

The Creative Commons Open Heritage Companion is a practitioner’s guide developed to help cultural heritage institutions navigate the journey from closed to open collections. Grounded in the legal, policy, and ethical questions institutions face along the way, the Companion brings together resources, tools, and examples that guide practitioners from their first questions about openness to leading the field.

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.