Human-Content-to-Machine-Data_Final - Flipbook - Page 34
and the balance that we9re pushing for will have been achieved, in both
practice and law.=109 - Lawrence Lessig
Just as was posited by Lawrence Lessig 19 years ago, the work of collectively building a
reciprocal AI ecosystem and defending a thriving creative commons is nuanced and
complex—but the results are fairly black and white. Just as CC licenses were one part of a
complex web that increased global access to knowledge, so too are CC signals. We hope
they9ll be a seed for collective action, sustainability of open infrastructure, data-sharing
frameworks, and yet unimagined innovations.
Building that balance won9t come from any one intervention alone. We still believe that open
sharing online has a vital role to play in the future of our information ecosystem. But, we must
act now to shape the terms of AI9s engagement with the commons.
This is our chance to build a future where creativity, knowledge, and technology serve one
another, and all of us. Join us.
Now, over to you!
Head over to the CC signals GitHub repository to provide feedback and respond to our
discussion questions: https://github.com/creativecommons/cc-signals.
Visit the CC website for more information on AI and the Commons:
https://creativecommons.org/ai-and-the-commons/.
Donate to creative commons ↗
From Human Content to Machine Data: Using Collective Action to Develop a New Social Contract ©
2025 by Jack Hardinges, Sarah Pearson, & Rebecca Ross is licensed under CC BY 4.0
109
Lessig, L. (2006, December 28). CC9s Future. Creative Commons.
https://creativecommons.org/2006/12/28/ccs-future/
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