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Policy Archives - Creative Commons

From Signals to Infrastructure: Strengthening the Commons for the AI Era - Creative Commons From Signals to Infrastructure: Strengthening the Commons for the AI Era - Creative Commons Update on CC Signals: What Changed and Why - Creative Commons Update on CC Signals: What Changed and Why - Creative Commons AI's Infrastructure Era: Reflections from the AI Impact Summit in Delhi - Creative Commons AI's Infrastructure Era: Reflections from the AI Impact Summit in Delhi - Creative Commons How to Keep the Internet Human - Creative Commons How to Keep the Internet Human - Creative Commons Where CC Stands on Pay-to-Crawl - Creative Commons Where CC Stands on Pay-to-Crawl - Creative Commons We Asked, You Answered: How Your Feedback Shapes CC Signals - Creative Commons We Asked, You Answered: How Your Feedback Shapes CC Signals - Creative Commons Why CC Signals: An Update - Creative Commons Why CC Signals: An Update - Creative Commons Introducing CC Signals: A New Social Contract for the Age of AI - Creative Commons Introducing CC Signals: A New Social Contract for the Age of AI - Creative Commons Understanding CC Licenses and AI Training: A Legal Primer - Creative Commons CC @ SXSW: Protecting the Commons in the Age of AI - Creative Commons CC @ SXSW: Protecting the Commons in the Age of AI - Creative Commons
Understanding CC Licenses and AI Training: A Legal Primer - Creative Commons
Alumnus · 2025-05-16 · via Policy Archives - Creative Commons

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 licenses are copyright licenses, so it follows that applying CC licenses to AI training is just as complex. 

The short answer is: AI training is often permitted by copyright. This means that the CC license conditions have limited application to machine reuse. This also means that using a more restrictive CC license in an effort to prevent AI training is not an effective approach. In fact, restrictive licensing may actually end up preventing the kind of sharing you want (like allowing for translation, for example), while not being effective to block AI training. 

For the long answer, read our new guide that provides a legal analysis and overview of the considerations when using CC-licensed works for AI training. 

👉  For an at-a-glance overview, head over to the Using CC-Licensed Works for AI training webpage

👉  For a more in-depth analysis, check out our handy PDF download

👉 For those who love a visual, take a look at our supplementary flowchart

If the CC licenses have limited application to machine reuse, what agency do creators have in the AI ecosystem? 

This is an important question. As you’ve heard us talk about before, we’re actively developing a CC preference signals framework to help bridge this gap. The framework is designed to offer new choices for stewards of large collections of content to signal their preferences when sharing their works, using scaffolding inspired by the architecture of the CC licenses. This is not mediated through copyright or the CC licenses. It is governed by something that tends to be even more widely adopted: a social contract. Stand by for the release of the paper prototype of CC preference signals framework at the end of June 2025. 

While you are here, please consider making an annual recurring donation via our Open Infrastructure Circle. This work will require a large amount of resourcing, over many years, to make happen. 

Posted 15 May 2025