3rd International Conference on Explainable AI for Neural and Symbolic Methods
EXPLAINS 2026
About this Conference
The conference focuses on Explainable AI (XAI), exploring the intersection of symbolic AI, machine learning, neural models, evolutionary computing, and fuzzy systems. It aims to address challenges in human-machine collaboration by examining technological, social, legal, and application-oriented aspects of AI interpretability.
Call for Papers
The conference invites submissions on Explainable AI covering three major tracks: Technology, Social and Legal Issues, and Applications. Papers should address interpretability methods, human-centered AI, and innovative approaches to making AI systems more transparent and understandable. Submissions will be evaluated for indexation by multiple prestigious databases including DBLP, Google Scholar, EI-Compendex, and Web of Science.
Important Dates
- Full Paper Submission May 19, 2026
- Notification July 17, 2026
- Camera Ready July 31, 2026
- Conference dates 28-30 October 2026