Knowledge-Driven and Explainable Intelligent Systems

The proposed workshop "Knowledge-Driven and Explainable Intelligent Systems (KEIS 2026)" aims to provide an interdisciplinary forum for researchers, practitioners, and industry experts working on intelligent systems that integrate learning, reasoning, uncertainty modeling, and explainability.

Recent advances in machine learning, foundation models, and intelligent data analytics have significantly improved the capability of AI systems across diverse domains. However, challenges related to interpretability, reliability, uncertainty handling, and trustworthy decision-making remain critical for deploying AI systems in real-world environments.

This workshop focuses on emerging approaches that combine knowledge-driven intelligence, explainable AI, soft computing, and hybrid learning systems to develop transparent, adaptive, and human-centered intelligent solutions. The workshop welcomes both theoretical advances and practical applications across interdisciplinary AI domains.