Interactive eXplainable AI - Theory and Practice (IXAIT 2025)

IXAIT Workshop will take place during the ECML PKDD 2025 conference.

This workshop focuses on advancing Explainable Artificial Intelligence (XAI) through interactive approaches, focusing on new methodologies and methods as well as practical issues. By bridging explainability with interactivity, this workshop aims to foster advancements in creating adaptive, transparent, and effective AI systems that align with human-centered design requirements and goals. The workshop aims to provide an interdisciplinary forum to investigate fundamental issues in developing interactive explainable AI methodologies as well as to discuss recent advances, trends, and challenges in this area.

Topics of interest include but are not limited to:

• User interfaces for XAI
• Dialogue-based interactive approaches to XAI
• Processual aspects of explanations
• Human-in-the-loop approaches for XAI
• Human-centered design and XAI
• Human-computer interaction for XAI
• Adaptability through interaction
• Multimodal explanations
• Personalization and explanations
• Psychological aspects of explanations
• Cased-Based Reasoning and XAI
• Persuasive explanatory processes
• Human-based evaluation in XAI
• Modeling on information needs and preferences of users
• Modeling of multiple stakeholders in XAI
• Interactive machine learning
• Domain-specific explanations
• Sequential decision making and XAI
• Applications of all of the above

Grzegorz J. Nalepa, Jagiellonian University, Poland and Halmstad University, Sweden
Martin Atzmueller, Osnabrück University, Germany
Kerstin Bach, Norwegian University of Science and Technology (NTNU), Norwegian Research Center for AI Innovation (NorwAI), Norway
Ann Nowe, Vrije Universiteit Brussel, Belgium
Mehrdad Asadi, Vrije Universiteit Brussel, Belgium

TBC

upcoming

Paper submission: 2025-06-14 Author notification: 2025-07-14 Registration: TBD Camera Ready Copy: 2025-07-28 Workshop: 2025-09-09 or 2025-09-13 (TBC)