Les chaires 3IA

Co-pilotes : Cesar Hidalgo et Marjorie Allain-Moulet

AI for physical models with geometric tools
Fabrice Gamboa
#learning with little or complex data, fair learning, AI and physical models

Augmented society
Cesar A.Hidalgo
#AI & society

Empowering Data-driven AI by Argumentation and Persuasion
Leïla Amgoud
#explainability, fair learning

Fair & Robust Learning
Jean-Michel Loubès
#Fair learning, explainability

Fusion-based inference from heterogeneous data
Nicolas Dobigeon
#learning with little or complex data

Law, Accountability and Social Trust in AI
Céline Castets - Renard
#Fair learning, AI & society

Moral AI
Jean-François Bonnefon
#AI & society

The effects of AI on competition in the marketplace
Bruno Jullien
#AI & society

More information about Acceptable AI research program

Co-pilots : Serge Gratton & Grégory flandin

AI for air traffic management and large scale urban mobility-
Daniel Delahaye
#automatic reasoning and decision

Data Assimilation and Machine Learning
Serge Gratton
#safe development and embedability, data and anomalies, AI and physical models, Optimization and game theory for AI

Deep learner explanation & verification
Joao Marquès Silva
# safe development and embedability, fair learning, explainability, automatic reasoning and decision-making

Fair & Robust Learning
Jean-Michel Loubès
#Fair learning, explainability

Game Theory and Artificial Intelligence
Jérôme Renault
#Optimization and game theory for AI

Large Scale Optimization for AI
Jérôme Bolte
#AI and physical models, Optimization and game theory for AI

CertifAI – Towards the certification of ML-based systems
Claire Pagetti
# safe development and embedability, fair learning, robotics and AI

Polynomial Optimization for Machine Learning and data analysis
Jean-Bernard Lasserre
#learning with little or complex data, optimization and game theory for AI, Data and anomalies

More information about Certifiable AI research program

Co-pilotes : Nicolas Mansard et Christophe Merle

Reverse-engineering the visual system
Thomas Serre
#learning with little or complex data, language, neuroscience and AI, Robotics and AI

Cognitive and interactive robotics
Rachid Alami
#language, neuroscience and AI, robotics and AI

Deep Learning with semantic, cognitive and biological constraints
Rufin van Rullen
#learning with little or complex data, language, neuroscience and AI, Robotics and AI

Design using intuition and logic
Thomas Schiex
#learning with little or complex data, AI and physical models, automatic reasoning and decision, explainability

Knowledge compilation,uncertainty,preferences
Hélène Fargier
#Automatic reasoning and decision

Artificial and Natural movement 
Nicolas Mansard
#Neuroscience and AI, robotics and AI

Neuroadaptive technology for Human Machine Teaming
Fréderic Dehais
#Neuroscience and AI, Robotics and AI

Synergistic transformations in model based and data based diagnosis
Louise Travé-Massuyès
#Automatic reasoning and decision, explainability, data and anomalies

More information about Collaborative AI research program