We are pleased to announce the third International Workshop on Explainable and Interpretable Machine Learning (XI-ML)
co-located with ECAI 2023, 30 September/1 October 2023, Krakow, Poland.
Submission deadline: July 29, 2023 (23:59 AoE Time).
With the current scientific discourse on explainable AI (XAI), algorithmic transparency, interpretability, accountability and finally explainability of algorithmic models and decisions, this workshop on explainable and interpretable machine learning tackles these themes from the modeling and learning perspective; it targets interpretable methods and models being able to explain themselves and their output, respectively. The workshop aims to provide an interdisciplinary forum to investigate fundamental issues in explainable and interpretable machine learning as well as to discuss recent advances, trends, and challenges in this area.
Overall, we are interested in receiving papers related to the following topics which include but are not limited to:
We will solicit full papers (up to 12 pages, excluding references) as well as short papers (up to 6 pages, excluding references); for submission, the CEUR-WS Latex template (i.e., the 1-column template) should be used for all workshop submissions CEURART.zip.
All submitted papers must
Authors should chose the workshop when submitting through the Easy Chair System: https://easychair.org/conferences/?conf=ximl23After the ECAI 2023 conference, we intend to publish the proceedings in the CEUR Workshop Proceedings series, indexed in Scopus and DBLP. We will also consider publishing a selection of extended papers in a special issue of an international journal.
If you have questions regarding the workshop, please contact Martin Atzmueller: firstname.lastname@example.org