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


We are pleased to announce the third International Workshop on Explainable and Interpretable Machine Learning (XI-ML) co-located with ECAI 2023, 30 September 2023, Krakow, Poland.
Submission deadline: July 29, 2023 (23:59 AoE Time).

Submit!

Objectives

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:


Program

Submission

We will solicit full papers (up to 15 pages, excluding references) as well as short papers (up to 7 pages, excluding references); for submission, the Springer LNCS Latex template hould be used for all workshop submissions.

All submitted papers must

Authors should chose the workshop when submitting through the Easy Chair System: https://easychair.org/conferences/?conf=ximl23

We intend to publish the proceedings in the Springer CCIS book series.

Important dates


Committee

Workshop Chairs


Contact

If you have questions regarding the workshop, please contact Martin Atzmueller: martin.atzmueller@uni-osnabrueck.de