Etudiant : BILAL ISMAIL

Filière : Master Big Data Analytics & Smart Systems (BDSaS)

Encadrant : Pr. ELGAROUANI SAID

Annèe : 2024

Résumé : The thesis "Explainable Artificial Intelligence: Intrinsic Approach" explores the importance of XAI in making AI systems transparent and understandable, crucial for trust and accountability in fields like healthcare and finance. It examines intrinsic explainable models and their applications, focusing on techniques like attention mechanisms and joint training. The study emphasizes the need for XAI to ensure trustworthy AI systems.