Skip to content
Make AI Good

Graph · Organisation

Creative Commons

01 · In focus

One organisation, in the field.

The structured facts the source records about Creative Commons, the count of declared adjacencies in the corpus, and the federation map zoomed on this node and its neighbours.

organisation

2 declared connections

Kind
Organisation
Status
active
Confidence
high
Location
international
Founded
2001
Entity ID
org-creative-commons
Network
View in network

Tags international, open-licensing, ai-training-data, creator-rights, consent, commons, standards, policy-advocacy, nonprofit

Creative Commons · 2 direct neighbours visible

02 · Connections

2 adjacencies, by relation.

Split by direction. Direct links are the ones Creative Commons’s source record names; inferred backlinks are records elsewhere in the corpus that point at this entity.

03 · Background

From the source record.

Body prose as it appears in movement-graph’s published markdown for this entity. Links to other corpus entities resolve to their graph page; links to deeper repo paths are kept as text so the page does not invent a route.

Creative Commons is an international nonprofit founded in 2001 to enable the legal sharing and reuse of creative works through open, standardized licenses — a commons infrastructure now covering more than 2.5 billion licensed works worldwide. In the AI era, Creative Commons has moved from license-provider to active advocate for creator consent and participatory data governance, using its CC Signals framework and engagement in international policy venues to help creators and cultural institutions shape how AI systems access and use the content on which the commons is built.

Founding and Mission

Creative Commons was founded in 2001 by legal scholar Lawrence Lessig, computer scientist Hal Abelson, and digital publisher Eric Eldred — an outgrowth of Lessig's 1999 federal lawsuit challenging copyright term extension. The founding insight was that the internet age needed a middle ground between "all rights reserved" copyright and the public domain: creators who wanted to share their work broadly had no legal mechanism to do so clearly and in machine-readable form. The CC licenses — released in 2002 — addressed this at scale, and by the mid-2020s more than 2.5 billion works bore CC licenses, constituting the largest body of openly licensed content on the internet.

That scale made Creative Commons a direct stakeholder in the AI training-data debate. The majority of openly licensed content is CC-licensed, meaning that the practices of AI developers training on publicly available content and the practices of the CC community are structurally entangled. CC began tracking AI policy in earnest in 2022, hosting community workshops in New York, Boston, San Francisco, London, and Berlin to consult with creators, libraries, cultural institutions, and communities about how AI was changing the conditions of the commons.

AI Work and CC Signals

CC's core framing holds that AI systems extract value from the commons at scale without adequate consent, attribution, or transparency — eroding the ecosystem incentives that sustain open sharing over time. If creators cannot tell how their works are being used in training, cannot receive attribution in AI-generated outputs, and cannot signal preferences about training uses, the conditions that made the commons productive begin to deteriorate.

Creative Commons' principal response is the CC Signals framework, launched in June 2025. CC Signals enables creators and data stewards — libraries, archives, research institutions, cultural heritage organizations — to express how they want their works used in AI development, layering AI-specific preferences on top of the existing CC license permissions. The framework's target participants are not AI developers but the institutions and individuals who have built the open commons: libraries, open science repositories, cultural archives, and individual creators. By designing interoperable tooling for these institutions to signal preferences at scale, CC is attempting to build the collective governance infrastructure that individual licensing decisions alone cannot produce.

By mid-2026, CC had updated the framework with a stronger accountability emphasis, proposing vocabulary additions to the IETF (Internet Engineering Task Force) to embed AI preference signals in technical standards. The organization also engaged African digital rights practitioners on data governance challenges specific to Global South contexts, with a London workshop on design and governance questions planned for later in 2026.

Policy Advocacy and Coalition Work

Beyond the CC Signals technical work, Creative Commons participates in policy advocacy at WIPO (World Intellectual Property Organization) and the World Economic Forum, arguing for copyright systems that preserve noncommercial and research exceptions critical to the commons. At the AI Impact Summit 2026, CC representatives framed participatory governance of AI training data as "not a luxury but a requirement for legitimacy" and worked alongside organizations including the Data Provenance Initiative, OpenMined, CivicSabha, PAIRS India, and Project Liberty Institute.

CC is a member of the COMMUNIA Association for the Public Domain, the Access to Knowledge Coalition, the Re:Create Coalition, and the Coalition for Creativity (C4C) — civil society formations working on copyright and commons questions across national, regional, and international legislative and regulatory venues. These coalitions extend CC's advocacy reach into legislative processes that individual organizational participation could not sustain.

CC is led by CEO Anna Tumadóttir, appointed in April 2024, who previously served as COO since 2021. Angela Oduor Lungati was elected board chair in 2024. The organization approaches its AI work with an explicitly exploratory stance — its 2026 priorities acknowledge that the CC Signals framework requires continued testing and iteration across the education, science, and culture sectors it serves.

04 · Sources

Where this came from.

6 sources listed from the pinned corpus. Links are shown only when the source URL is a valid HTTP(S) address.

  1. creativecommons.org

    Checked 2026-09-02

    Official website — mission, scale (2.5B+ CC-licensed works), about overview

  2. creativecommons.org

    Checked 2026-09-02

    AI and the Commons hub — CC's framing of AI risks to the commons; CC Signals framework overview; community consultations in New York, Boston, San Francisco, London, Berlin

  3. creativecommons.org

    Checked 2026-09-02

    May 2026 — updated CC Signals framework; shift from preference signals to accountability infrastructure; IETF vocabulary proposal; African data governance engagement; London workshop planned

  4. creativecommons.org

    Checked 2026-09-02

    CC 2025 year in review — CC Signals launch June 2025; public feedback period; pilot stage with early adopters; WIPO and WEF policy engagement

  5. creativecommons.org

    Checked 2026-09-02

    April 2024 — Anna Tumadóttir appointed CEO; previously COO since 2021; Angela Oduor Lungati elected board chair 2024

  6. creativecommons.org

    Checked 2026-09-02

    AI Impact Summit 2026 — CC core interventions: shared governance infrastructure, democratic data governance, creator empowerment; coalition partners including OpenMined, Data Provenance Initiative, Project Liberty Institute, CivicSabha, PAIRS India

Source: entities/organizations/org-creative-commons.md — movement-graph pin 5edfc3b.