Current projects

  • PAC AI4AD (started: 2025)
    • Partners: Sciences Po, UTC, Make.org, Nukk.AI
    • Role: PI
    • AI for Augmented Deliberation

      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.

  • ANR THEMIS (started: 2021)
    • Partners: LAMSADE (PI: Stefano Moretti), CRIL, LIP6
    • Role: member
    • Theory and Evidence to Measure Influence in Social Structures

      The THEMIS project aims at producing a general ordinal theory of cooperative interaction situations and power indices for the formulation of a portfolio of social ranking solutions applied to different domains of artificial intelligence, such as decision theory, game theory, computational social choice and multi-agent systems. In particular, the project will focus on the following families of problems: 1) the axiomatic design of novel social ranking solutions accompanied with a road-map of principles guiding users to the most adapted scenario; 2) the impact of the computational difficulties of algorithms for social ranking and their vulnerability to strategic behaviour; 3) the dynamics of coalition formation and the effect of social ranking solutions on the behaviour of individuals to form stable coalition structures; 4) the application of compact preference representation to efficiently compute social ranking solutions and to assess their robustness to changes and to manipulations.

  • ANR AGGREEY (started: 2023)
    • Partners: CRIL (PI: Srdjan Vesic), I3S, LIPADE, LIP6
    • Role: member
    • An argumentation-based platform for e-democracy

      E-democracy is a form of government that allows everybody to participate in the development of laws. It has numerous benefits since it strengthens the integration of citizens in the political debate. Several on-line platforms exist; most of them propose to represent a debate in the form of a graph, which allows humans to better grasp the arguments and their relations. However, once the arguments are entered in the system, little or no automatic treatment is done by such platforms. Given the development of online consultations, it is clear that in the near future we can expect thousands of arguments on some hot topics, which will make the manual analysis difficult and time-consuming. The goal of this project is to use artificial intelligence, computational argumentation theory and natural language processing in order to detect the most important arguments, estimate the acceptability degrees of arguments and predict the decision that will be taken.

Previous projects

  • MITI CNRS Negoclim (started: 2022, ended: 2024)
    • Partners: CES Paris-1 Panthéon-Sorbonne, LIP6
    • Role: PI

      The NEGOCLIM project brings together researchers in economics and computer science to study climate negotiations.

  • MITI CNRS AlgoJust (started: 2022, ended: 2024)

  • ANR project CoCoRiCoCODEC (started: 2014, ended: 2018)
    • Partners: LAMSADE (PI: Jérôme Lang), CREM
    • ROle: member
    • Computation, Communication, Rationality and Incentives in Collective and Cooperative Decision Making – CoCoRICo-CoDec

      The project aims at studying several classes of collective decision problems under three point of views: (a) the impact of the computational difficulties of the mechanisms involved; (b) the impact of their communication requirements; (c) their vulnerability to strategic behaviour. The classes of problems we consider concern groups of agents that have to reach a stable state or a common decision: (1) coalition structure formation, where a central authority has to partition agents into groups; (2) selection of a common alternative, or a collective set of alternatives, subject to some constraints: voting (single-winner elections, committee elections, multiple referenda), group recommendation, multi-facility location; (3) fair allocation of indivisible resources. Our project has a two-dimensional structure: classes of problems (1)–(3) on the one hand, classes of tasks or questions (a)–(c) on the other hand. There will be one work package for each of the main questions (a) to (c), and a work package whose role will be to implement some of the methods and solutions from other work packages on a collective decision platform, which will be tested on real users and used for pedagogical purposes.

  • COST action on Computational Social Choice (COMSOC)
    • ended in 2016
  • ANR project on Advanced Multilateral Argumentation for DEliberation (AMANDE
    • start: December 2013, ended: December 2018