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


We are pleased to announce the first International Workshop on Explainable and Interpretable Machine Learning (XI-ML) co-located with KI 2020, Sept. 21, 2020, Bamberg, Germany.
Submission deadline (extended): Jul 23, 2020 (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:


Submissions: We will solicit short position papers (2-4 pages) and peer-reviewed research papers (8-16 pages) in LNCS format. Papers should be submitted in EasyChair to https://easychair.org/conferences/?conf=ximl2020

Submission

All submitted papers must

All submissions must be entered into the reviewing system: https://easychair.org/conferences/?conf=ximl2020

The proceedings will be published in the CEUR Workshop Proceedings series. We will also consider publishing a selection of extended papers in a special issue of an international journal..


Important dates


Committee

Workshop Chairs

Program Committee


Contact

If you have questions regarding the workshop, please contact Martin Atzmueller: m.atzmuller@uvt.nl