Hybrid Artificial Intelligence (AI) broadly encompasses all approaches that combine several AI methods, whether symbolic or numerical, qualitative, semi-qualitative or quantitative. It is a field that is currently enjoying renewed interest, particularly because the hybridization is a way of addressing the respective weaknesses of different approaches and tackling certain current AI challenges such as trust and explainability. The Research Group (RG), Institute and Ecole:

• the "Reasoning, Learning and Decision in Artificial Intelligence"  RADIA research group, and its "Hybrid AI Models" MHyAI and "Explicability and Trust" EXPLICON research groups, 

• the "Information, Learning, Signal, Image, viSion" IASIS research group,

• IRT SystemX, as part of its IA2 (Artificial Intelligence and Augmented Engineering) research program and the Confiance.ai consortium it leads, and,

• CentraleSupélec and its MICS laboratory

are jointly organizing a conference on the topic of Hybrid AI: from knowledge and human integration to model explanation, to be held at CentraleSupélec's Paris-Saclay site. They will take place on March 27 and 28, 2024.

Contributions, including work in progress and preliminary results, are invited on this topic.  You are invited to submit your contributions (in English or French) in the form of a 1/2-page to 1-page free-format abstract or poster by February 20, 2024. Submissions and selection notifications will be processed as they arise. 

The days will take place in the EIFFEL building in the Auditorium 2.

They will be broadcast. Soon, we will share the link.

 Workshop co-organized by:

In association with: