Study day organized by the Bibliothèque nationale de France (BNF) and the Institut national de la recherche scientifique at Montreal (INRS, Montreal) as part of Franco-Quebec cooperation.

Presentation

The aim of this study day is to share French and Quebec expertise on the use of cultural data for the development of artificial intelligence systems. By bringing together institutions from the GLAM sector (libraries, archives, museums, and cultural heritage institutions) and open knowledge actors (notably the Wikimedia movement), it aims to create synergies between public institutions and digital commons actors in order to address shared challenges related to data accessibility, governance, and equity.

The areas for reflection and action addressed as part of this initiative focus on

• adapting legislative frameworks to the realities of the public domain and the commons,
• platforms for accessing cultural datasets,
• developing sustainable and equitable economic models,
• promoting cultural and linguistic diversity in the Franco-Quebec space.

This study day is part of the Digital Commons and Artificial Intelligence project, funded by the Permanent Commission for Franco-Quebec Cooperation (CPCFQ). The project is co-led by the Bibliothèque nationale de France (BnF) and the Institut national de la recherche scientifique (INRS, Montreal).

This project is being carried out in collaboration with:

• Québec, Canada : Centre de recherche interuniversitaire sur les humanités numériques (CRIHN), Bibliothèque et Archives nationales du Québec (BAnQ), Wikimédia Canada, ministère de la Culture et des communications du Québec (MCCQ), University of Ottawa.
• France : Laboratoire DICEN-IDF (université Paris Nanterre), Wikimédia France, Laboratoire Théâtres& Médiations Numériques (TMNLab), Délégation générale à la langue française et aux langues de France (DGLFLF) du ministère de la Culture
  With the support of Service de Coopération et d’Action Culturelle du Consulat général de France à Québec

Program

Welcome adress by the BNF
By Isabelle Nyffenegger, Director of Services and Networks

Introduction by the organizers
By Nathalie Casemajor and Jean-Philippe Moreux

Opening session — The paradox of openness (in English)
By Paul Keller, Open Future Foundation, white paper Beyond AI and copyright, funding a sustainable information ecosystem

First round table — Contexte juridique : état des lieux pour les communs et le domaine public
By Julie Groffe-Charrier, Université Paris Saclay, Camille Françoise, Europeana et Wikimédia France, an Brigitte Vézina, Creative Commons

2nd round table — Les usages : industrie, recherche, projets contributifs
Moderator: Marta Severo, DICEN-idf, Université. de Nanterre
Avec Anastasia Stasenko, pleias, Alexandre Gefen, CNRS, Clément Bénesse, opsci.ai
Other speakers to be confirmed

Lunch break

3rd round table  — Le cas des données patrimoniales : comment continuer à créer des communs
Moderator : Emmanuel Chateau-Dutier, Université de Montréal
With Valérie D’amours and Viriya Thach, Bibliothèque et Archives nationales du Québec, Tiphaine Vacqué, Bibliothèque nationale de France, and Antoine Isaac, Europeana Foundation

4th round table — Expression des cultures et des langues dans les espaces de données
Moderator: Thomas Mboa, University of Ottawa 
With Christian Gagné, Institut intelligence et données, Nancy Gros-Louis McHugh, Commission de la santé et des services sociaux des Premières Nations du Québec et du Labrador, Benaset Dazéas, Congrès permanent de la lenga occitana, and Thibault Grouas, DGLFLF

Pratical conditions 

Free admission – Subject to availability
We recommend arriving early (up to 20 minutes before the event).
More information

Organisators

The event is organized by the Institut national de la recherche scientifique de Montréal and the Bibliothèque nationale de France (BNF).

The Bibliothèque nationale de France is a partner of the Paris IAS as part of the PostGenAI@Paris cluster. 

PostGenAI@Paris: Based in the heart of Paris, this interdisciplinary and intersectoral consortium aims to develop ethical, inclusive, and sovereign AI that is fully grounded in the major challenges of our time.