Commons AI conference 10 december at La Défense

Save the date : Commons AI Conference 2025

28 octobre 2025

A community based approach for AI

The Commons AI conference – a community based approach for AI – is part of the Generation AI conference, which will be held on the 9, 10, 11 December 2025 at CNIT La Defense.

The increased use of generative AI has brought to light areas of fragility and tension within our digital societies, such as the concentration of power, threats to personal data and the homogenisation of knowledge.

In light of the risks posed by the dominance of a few AI models and the dangers of exploiting freely accessible web resources, there is a growing consensus within open-source communities and digital commons to address these issues and develop AI that respects the resources used, the communities involved and end users.

There have been numerous initiatives at different levels, such as setting up infrastructure to host open-source AI projects, creating an LLM Open Source, using open training data, reflecting on data governance in commons approaches, and calling for regulation.

The aim of this inaugural Commons AI conference is to review initiatives that aim to develop AI using an open, commons-based approach. We will explore the findings that have already been made and consider how to consolidate and pool these initiatives.

Commons AI Program

Three sessions will be offered throughout the day, each examining one of the three main components of a common: resources, community and governance.
Bringing together different profiles (businesses, researchers, NGO and the public sector) at this meeting will facilitate an exchange of views, present the current status of ongoing projects and collectively address and identify existing and new issues.

Session 1 – Ressources to produce open, ethical, and inclusive AI

What are the resource needs of communities to produce open, ethical, and inclusive AI? How can different degrees of openness be articulated according to the components of AI (data, models and algorithms)? What open and sustainable infrastructures are available to support these projects?

Presentations followed by a round table : Pierre-Carl Langlais (PleIAs), Bertrand Monthubert and Pauline Zordan (Ekitia), Julie Hunter (LinLabs), Ramya Chandrasekhar (CNRS/CIS)

Session 2 – Governance and regulatory mechanisms

What governance elements have been implemented, or need to be established, to help develop these communities and promote the implementation of these AI models using a commons approach? What regulatory mechanisms are available, whether regulatory or community-based (licences, charters, etc.)?

Presentations followed by a round table : Jean Cattan (CNIA), Renata Avila (OKFN), (In progress)

Session 3 – Communities, contribution and dialogue

How are communities organised to bring together diverse actors in order to support and maintain AI as a commons? What contributions does each member make? What economic balances have been found? How can different profiles (e.g. developers, data curators and users) be brought into dialogue?

Demo : Jean Millerat et Jude Leckomba (AFD)
Round table in French : Jean Philippe Clément (Parlez moi d’IA, Ville de Paris), Raphaël Bournhonesque (Open Food Facts, Jeanne Bretecher (Social Good Accelerator), Jean Marc Borredon (Ville d’Annemasse), Pierre Yves Gosset (Framasoft)

A summary document outlining the key points presented and some concrete avenues for collective action will be produced following this day

Coordination : Celya Gruson Daniel and Benjamin Jean (Inno3)