ICEAIDS
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
ICEAIDS
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
explainable AI
interpretable models
transparent algorithms
model interpretability
AI trust
human-in-the-loop systems
visualization for explainability
causality in machine learning
ethical AI
fairness in data science
model debugging
explainability frameworks
decision transparency
regulatory compliance
trustworthy AI
Start Date
Tuesday, June 16, 2026
Registration Deadline
Monday, June 1, 2026
Submission Deadline
Wednesday, May 27, 2026
Budapest, Hungary
