About Us

CONFERENCE

AI, Science and Society

Connections, Collectives and Collaboration

Prof. Michael Jordan
(Inria/UC Berkeley)

General Chair

Prof. Eric Moulines
(École polytechnique - IP Paris)

Local Chair

 

On February 6 and 7, 2025, the Institut Polytechnique de Paris (IP Paris) will host an international scientific conference dedicated to exploring the transformative impact of artificial intelligence (AI) on science and society. The meeting will take place at the IP Paris campus (École Polytechnique) in Palaiseau. This prestigious two-day event entitled, “AI, Science, and Society: Connections, Collectives, and Collaboration,” aims to foster dialogue at the intersection of technological innovation, interdisciplinary scientific inquiry, and societal evolution. As key part of  the AI Summit, scheduled for February 10th and 11th, 2025, in Paris, this conference will serve as a critical prelude, setting the stage for high-level discussions that will resonate throughout the summit. Researchers from public and private institutions, industry leaders, policymakers, and thought leaders from around the globe will converge to exchange ideas, present groundbreaking research, and address pressing challenges at the interface of AI and its applications in diverse fields such as biology, physics, mathematics, economics, and ethics.

The event will feature a dynamic program that includes keynote lectures from internationally renowned experts, panel discussions on emerging trends and ethical considerations, and dedicated sessions showcasing collaborative research initiatives. Through these exchanges, “AI, Science, and Society” aims to highlight the pivotal role of interdisciplinary partnerships and collective intelligence in advancing AI’s potential while ensuring its responsible and equitable integration into societal systems. With its forward-looking vision and inclusive format, the conference will provide a unique platform for engaging with the profound questions shaping our AI-driven future and inspiring the next generation of researchers and innovators. This conference aspires to build a bridge between disciplines, encouraging cross-pollination of ideas and collaboration on innovative solutions. In doing so, it will underscore the importance of collective action and interdisciplinary thinking in shaping a technologically advanced and socially robust AI-powered future.

Scientific committee of the conference:

  • Michael Jordan, Berkeley/Inria (PR[AI]RIE – PSAI)
  • Eric Moulines, École Polytechnique – IP Paris (Hi! PARIS Cluster 2030) 
  • Karteek Alahari, Inria Grenoble – Rhône-Alpes (MIAI Cluster) 
  • Jamal Atif, Université Paris Dauphine – PSL (PR[AI]RIE – PSAI)
  • Cedric Auliac, CEA (DATAIA-Cluster)
  • Alexandra Bensamoun, Université Paris-Saclay (DATAIA-Cluster)
  • Stéphane Canu, INSA Rouen
  • Constance De Leusse, École normale supérieure – PSL
  • Jalal Fadili, CNRS/Ensicaen – Centre AISSAI
  • Isabelle Ryl, Université Paris Sciences et Lettres (PR[AI]RIE – PSAI)

 

AI Clusters in France 

As part of the national strategy for artificial intelligence launched in 2018, following on from the recommendations of the Villani report, the Artificial Intelligence Accelerator PEPR carries the research component with the aim of bringing about disruptive technologies in the development and use of artificial intelligence.

At the heart of the scientific challenges of AI, the PEPR IA aims to respond to the societal challenges of sustainability, ecological transition and technological sovereignty.

Led by CEA, CNRS and Inria, the program is operated by ANR and funded by France 2030, as part of the national strategy for artificial intelligence.

  • Hi! PARIS Cluster 2030 (Institut Polytechnique de Paris) 
  • PR[AI]RIE – PSAI (Université Paris Sciences et Lettres) 
  • MIAI Cluster (Université Grenoble Alpes) 
  • PostGenAI@PARIS (Sorbonne université) 
  • ENACT (Université de Lorraine) 
  • DATAIA-Cluster (Université Paris-Saclay) 
  • ANITI IA Cluster (Université de Toulouse)
  • 3IA Côte d’Azur 2030 (Université Côte d’Azur) 
  • SequoIA (Université de Rennes)