CC signals reflects CC’s core principles and is part of our wider engagement on AI and the commons.

CC signals is an evolving, values-driven framework—currently being tested through a series of pilot efforts. Our strategy is to explore modular approaches across legal, technical, and normative dimensions to encourage responsible AI practices. This allows CC signals to adapt as norms, technologies, and standards continue to evolve.

Active Implementation Pilots

Mozilla Data Collective Pilot Project

Working in partnership with our friends at Mozilla, we are exploring ways to enhance the Mozilla Data Collective platform, which is purpose-built to enable ethical dataset sharing and fair value exchange. Our plan is to test various ways of incorporating some measure of legal enforceability into CC signals. We also hope to use this as an opportunity to test which CC signal elements are most popular and impactful, and which ones have the biggest impact on AI developer behavior.

We are actively seeking expressions of interest from dataset stewards who are interested in participating in the Mozilla Data Collective pilot project. If that’s you, we’d love to hear from you.

CC Signals in the RSL Standard

Using the framework of the ecosystem contribution signal element, we are working with the RSL Collective to embed the notion of reciprocal contribution into this evolving standard. As a platform that will let rightsholders set machine-readable licensing terms for their content, integrating the contribution element ensures that standards such as RSL provide mechanisms for AI developers to contribute back to the commons at the collective or community level, not simply a one-to-one payment.