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Sarah Hinchliff PearsonPolicyPhoto by Dmitry Ryzhkov, 2014, licensed with CC BY-NC-SA 2.0, Flickr, remixed by Creative Commons, 2026, CC BY 4.0.
I like to say I am a “writer who lawyers”. I begin here because I want to name my biases up front. I am a lawyer, but I come to this work first and foremost as a writer thinking about the conditions that will allow us to continue to share knowledge publicly. And in spite of—or perhaps because of—the fact that I am a lawyer, I have a healthy skepticism about the power of legal terms and conditions. The law will play a role, but the challenge of keeping the internet human will ultimately be navigated by the stories we imagine and tell. We need new stories.
As we’ve discussed before, the rise of large artificial intelligence (AI) models has fundamentally disrupted the social contract governing machine use of web content. Today, machines don’t just access the web to make it more searchable or to help unlock new insights; they feed algorithms that fundamentally change (and threaten) the web we know. What once functioned as a mostly reciprocal ecosystem now risks becoming extractive by default.
Whether you are a creator, researcher, or anyone licensing your work with a CC license, you might be wondering how it can be used to train AI. Many AI developers, who wish to comply with the CC license terms, are also seeking guidance. The application of copyright law to AI training is complex. The CC…
SXSW by Creative Commons is licensed under CC BY 4.0
SXSW by Creative Commons is licensed under CC BY 4.0 If you’ve been following along on the blog this year, you’ll know that we’ve been thinking a lot about the future of open, particularly in this age of AI. With our 2025-2028 strategy to guide us, we’ve been louder about a renewed call for reciprocity…
Reciprocal Roof (Shed) by Ziggy Liloia is licensed under CC BY-NC 2.0 A lot has changed in the past few years, and it is high time for Creative Commons (CC) to be louder about our values. Underpinning our recently released strategic plan is a renewed call for reciprocity. Neutrality serves only the status quo and…
Acknowledging that some data should not be shared (for moral, ethical and/or privacy reasons) and some cannot be shared (for legal or other reasons), Creative Commons (CC) thinks there is value in incentivizing the creation, sharing, and use of open data to advance knowledge production. As open communities continue to imagine, design, and build digital…
“Eagle Traffic Signals – 1970s” by RS 1990 is licensed via CC BY-NC-SA 2.0.. At the intersection of rapid advancements in generative AI and our ongoing strategy refresh, we’ve been deeply engaged in researching, analyzing, and fostering conversations about AI and value alignment. Our goal is to ensure that our legal and technical infrastructure remains…