Workshop: Putting AI to Work to Promote Certain Values

Members of the committee responsible for the workshop

This workshop aims to examine the value systems at work in artificial intelligence technologies. The large-scale deployment of language models capable of generating content (text, images, video, and music) is accompanied by imaginaries and worldviews that reflect particular choices and hierarchies of values. Moreover, the logics, particularly economic ones, that underpin these models raise significant questions, especially as they are increasingly used in public services and, more broadly, in everyday life (for example, the use of personal data within a framework of surveillance capitalism).

In this context, calls for greater transparency, improved algorithmic explainability, increased diversity in models (e.g., Black in AI), and stronger commitments to algorithmic fairness are multiplying. At the same time, emerging strands of research are developing to critically examine these systems, shed light on their biases, and better understand the values they embed and convey. Finally, the environmental impacts of these technologies are intensifying ongoing debates, often framed between techno-solutionism and more critical approaches to technology.

Over the four days of the workshop, presentations will be organized thematically to foster in-depth discussions on these various dimensions. A daily synthesis will help consolidate contributions and build a coherent overall perspective by the end of the workshop. In addition, an artistic perspective will complement the discussions, offering alternative ways of engaging with these issues. 

This activity is part of the Thematic Semester The Governance of AI, organized under the partnership between IVADO and the AI center for Science and Science for AI (AISSAI-CNRS), and is offered in collaboration with the Obvia.

Your registration for the workshop also gives you access to the conference “Improving AI Governance” on October 23, 2026.

Lyse Langlois (Université Laval), Sarah Brown (University of Rhode Island), Marc-Antoine Dilhac (Université de Montréal), Alexandra Bensamoun (Université Paris-Saclay), Pierre Larouche (Université de Montréal), Jean-Gabriel Ganascia (Sorbone Université, LIP6), Antoine Henry (Université de Lille), Julie Marques (INSA), Siddarth de Souza (University o Warwick), Richard Khoury (Université Laval).