ANR AIDA
Start date : January 1st, 2025 Project lead : Nicolas Labroche
Despite the fast-pace growing research field of XAI, and preliminary efforts in auto-XAI , decision makers are still struggling to decide how explanations can improve their data analysis models. The AIDA project aims to bridge the gap between causal analysis of MTS and action-guiding explainability of DL models. In particular, causal explanations studied by AIDA go beyond the traditional predictive performance versus interpretability trade-offs of existing XAI methods.