|Date||October 1, 2023|
|Location||The workshop will be held in-person at the ECAI 2023 conference in Kraków, Poland.|
|Room||A-1-13 in the Faculty of Physics, Astronomy and Applied Computer Science of the Jagiellonian University|
Call for Papers
Welcome to the Joint workshops on XAI methods, challenges and applications (XAI^3), where we aim to discuss opportunities for the new generation of explainable AI (XAI) methods that are reliable, robust, and trustworthy. Explainability of AI models and systems is crucial for humans to trust and use intelligent systems, yet their utility in high-risk applications such as healthcare and industry has been severely limited. Our workshop will have three tracks: medical, industry, and future challenges, where we will explore the challenges and opportunities in creating useful XAI methods for medical applications, integrating explainability in highly automated industrial processes, and evaluating current and future XAI methods. We welcome contributions from researchers, academia, and industries primarily from a technical and application point of view, but also from an ethical and sociological perspective. Join us in discussing the latest developments in XAI and their practical applications at the 26th European Conference on Artificial Intelligence (ECAI 2023) in Kraków, Poland.
Tracks and topics
| Towards Explainable AI 2.0 (XAI2.0)
|| Explainable AI for Medical Applications (XAIM)
|| XAI for Industry 4.0 & 5.0 (XAI4I)
|Paper submission deadline|
All times Anywhere on Earth (AoE), UTC-12
Submissions should be anonymised and follow the LNCS template available as downloadable LaTeX and Word, as well as online Overleaf template, at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
We welcome two types of papers:
- Non-proceedings track: We welcome short papers of 4-8 pages. Submissions accepted to this track will be presented at the XAI^3 workshop but not published in Springer proceedings.
- Proceedings track: We welcome full research papers of 10-15 pages. Full papers presented at the XAI^3 workshop will be published by Springer Nature in joint ECAI workshop proceedings volume, as part of the CCIS book series. It will be possible to make individual papers Open Access, at the discretion and cost of the authors, by following the Springer procedure described here.
The page limit does not include references and supplementary material.
Submissions can be done at https://cmt3.research.microsoft.com/XAI3ECAI2023