Deliberative processes are often seen as a possible remedy to reconcile citizens with democracy. However this promise falls short when facing issues such a unbalanced participation, the cost of organizing large-scale consultations, etc. While the prospect of AI-enhanced deliberative and collective decision-making processes has not yet fully materialised, the emergence of large language models is sometimes perceived as a chance to enlarge participation, facilitate deliberation, suggesting common grounds, or deducing unvoiced preferences. Conversely, the use of AI technologies in such sensitive settings also pose risks through the inherent biases in their responses and potential exploitation for manipulating decisions, which call into question fundamental assumptions of classical frameworks. The aim of this project is thus to explore how post-generative AI systems can enhance deliberation and improve collective decision-making, in order to promote fair and collectively acceptable policies. (More details here).
The AI for Augmented Deliberation collaborative project (PAC) is part of the PostGenAI “ClusterAI” consortium ([link website]) lead by SCAI (Sorbonne Consortium for AI). The project started in January 2025 and is funded for 5 years (ANR-23-IACL-0007). It is jointly coordinated by LIP6 and Sciences Po and involves Nukk.AI and Make.org as industrial partners.
Lecturer (4-year) position open, see details in Vacancies
1 January, 2025The project has officially started!