Heritage, Data Commons and AI - HORIZON-CL2-2027-02-HERITAGE-09-two-stage

This project investigates how the reconfiguration of the Web in the context of generative AI technologies and their societal consequences impacts the governance of data commons. It focuses on organizations such as GLAM institutions (galleries, libraries, archives, museums) and actors from the free knowledge movement (notably Wikimedia), which act as stewards of public knowledge and open cultural data. As the Web is increasingly shaped by massive data extraction and synthetic content generation, these organizations face new socio-technical and political challenges. The project explores how they negotiate their roles, build alliances, and reshape their practices to sustain the commons they maintain. Grounded in critical data studies and cultural analysis, this project draws on qualitative fieldwork, collaborative partnerships, and knowledge mobilization initiatives to produce new insights into the evolving ethics and politics of open data infrastructures.

It stems from a partnership-based research framework involving public institutions, civic organizations, and governmental actors in France and Quebec, including the Bibliothèque nationale de France (BnF), Bibliothèque et Archives nationales du Québec (BAnQ), Wikimedia Canada, Wikimedia France, and experts from the French and Quebec Ministries of Culture.

https://www.bnf.fr/fr/agenda/communs-de-donnees-et-intelligence-artificielle-regards-croises-france-quebec