Here at CC, we have the goal of defending and sustaining the digital commons in the face of developments in artificial intelligence.
We’ve recently introduced a new framework, CC signals, to offer a new way for stewards of large collections of content to indicate their preferences for how machines (and the humans controlling them) should contribute back to the commons.
As we develop our approach, we’re taking inspiration from the work of our partners, community, and other stakeholders. We’re particularly interested in efforts to understand:
How AI scrapers are reshaping the web
Copyright, labor, surveillance, and resistance
The effects of a new economy of data licensing
Emerging ideas for more ethical AI and consensual data governance
We’re reading (a lot!) on these topics, to help ensure that CC signals become part of a diverse set of solutions for protecting the commons in the unfolding AI future. Here’s some of the writing that’s shaping our thinking:
Legal frictions for data openness: Reflections from a case-study on re-use of the open web for AI training – Ramya Chandrasekhar https://hal.science/hal-05009616v1
We’d love for you to read and learn alongside us, share your thoughts, and contribute other articles and resources to this list! Connect with us on LinkedIn, Bluesky, or Mastodon.
