International Workshop on Explainable and Interpretable Machine Learning (XI-ML)

We are pleased to announce the second International Workshop on Explainable and Interpretable Machine Learning (XI-ML) co-located with KI 2022, Sept. 21, 2022, Trier, Germany.
Submission deadline (extended): July 29, 2022 (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:


Papers: Download here


We will solicit full papers (up to 12 pages) as well as short papers (up to 6 pages); for submission, the LNI Latex template should be used for all workshop submissions

All submitted papers must

Authors should chose the workshop as a track of the conference when submitting through the Easy Chair System: (Please choose Track W5: Explainable and Interpretable Machine Learning)

After the KI2022 conference, we intend to publish the proceedings in the CEUR Workshop Proceedings series or GI Lecture Notes in Informatics. Both are indexed in Scopus and DBLP. We will also consider publishing a selection of extended papers in a special issue of an international journal.

Important dates


Workshop Chairs

Program Committee


If you have questions regarding the workshop, please contact Martin Atzmueller: