Working Group: Hybrid AI
Leader(s)
Mailing list
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Descritpion
The aim of the Working Group is to study and propose hybrid approaches (symbolic, sub-symbolic, numerical) for humans, to make them interactive, and hybrid by design to be interpreted and explained.
The Working Group will focus on the following challenges
- Hybrid approaches (symbolic, sub-symbolic, numerical) for human (interactive)
- How to inject symbolic expert knowledge into numerical approaches
- How numerical approaches can help symbolic approaches
- How symbolic approaches can help numerical approaches
- Proposing or developing hybrid approaches by design to be interpretable and explicable
Strategically, it is important to have a position in hybrid approaches in artificial intelligence for several key reasons, firstable, Combination of team members competence advantages: Hybrid approaches allow leveraging the strengths of both symbolic AI (K, ORPAILLEUR) and numerical AI (ORPAILLEUR, BIRD), thus creating more performent and robust systems. Hybrid systems offer more in-depth data analysis, enabling faster, more reliable decisions based on comprehensive and up-to-date information using interactivity to integrate expert knowledge Hybrid models can offer better explainability, crucial for user trust and regulatory compliance.
Members
- Ait-Chabane, Rania
- Bannay, Aurelie
- Beer, Alexis
- Blansché, Alexandre
- Bonnin, Geoffray
- Boudjeloud-Assala, Lydia
- Brun, Armelle
- Cabanes, Guénaël
- Castagnos, Sylvain
- Conan-Guez, Brieuc
- Cruz-Lara, Samuel
- D’Aquin, Mathieu
- Gely, Alain
- Gendron, Barbara
- Haurel, Maxime
- Klochko, Liudmyla
- Langlois, David
- Lieber, Jean
- Monari, Clément
- Pennerath, Frédéric