Date : 2026-05-28 => 2026-05-29
Lieu : ETIS lab, Cergy, France
Chers collègues,
Je vous partage, l’appel à participation pour notre école thématique XAI Spring Sc hool on Explainable Artificial Intelligence, les 28/29 Mai 2026.
Si vous êtes en thèse : cette école est pour vous ! Inscrivez vous dès maintenant !
Si vous êtes encadrant.e. : invitez vos étudiant.e.s à y s’inscrire !
La participation sera limitée à 25 personnes.
L’inscription est gratuit (repas et pauses cafes compris) mais obligatoire. Lien inscription :
https://docs.google.com/forms/d/e/1FAIpQLSdJkblxmDX-vaFRNPQ_bhQzKicOP7OxbCvehOVCIUaTp8FsK g/viewform
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Dear colleagues,
We are pleased to invite you to participate – and/or invite your graduate students to participate – in the XAI Spring School on Explainable Artificial Intelligence, hosted by the ETIS laboratory, at Cergy Paris University (Cergy, France).
This spring school brings together researchers, students, and practitioners interested in the foundations and applications of explainable AI (XAI), with a focus on systems with different data modalities.
Topics include (but are not limited to):
Explainable and interpretable machine learning
Trustworthy and responsible AI
Data-centric AI and evaluation
Applications of XAI in real-world and inconsistent systems
Explainability with RAGs and LLMs
Target audience:
Graduate students (Master/PhD), researchers, and industry practitioners working in AI, data science, or related fields.
Location: CYU Maisons SHS, Cergy Paris Université
Dates: 28-29 May 2026
Website: https://xaietis.github.io/
Participation is free of charge, including coffee breaks and lunches.
⚠️ Registration is mandatory (max 25 participants).
Register here: https://docs.google.com/forms/d/e/1FAIpQLSdJkblxmDX-vaFRNPQ_bhQzKicOP7OxbCvehOVCIUaTp8FsKg/viewform
The program will include keynote talks, tutorials, and interactive sessions led by leading researchers in the field.
We kindly encourage you to share this announcement with colleagues and students who may be interested.
Best regards,
The organising committee,
Vassilis Christophides (ETIS, CNRS, ENSEA, CYU, France, IPAL Singapour)
Evi Pitoura (University of Ioannina, Greece)
Dimitris Kotzinos (ETIS, CNRS, ENSEA, CYU, France)
Katerina Tzompanaki (ETIS, CNRS, ENSEA, CYU, France)
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
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