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CALL FOR PAPERS
International Workshop on Explainable and Interpretable
Machine Learning (XI-ML)
to be held on Sept. 21, 2020, Bamberg, Germany
co-located with KI 2020
http://www.cslab.cc/xi-ml-2020/
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Important Dates:
================
** Submission Deadline (Extended): Jul 08, 2020
** Notification of Acceptance: Aug 07, 2020
** Camera-Ready Versions Due: Aug 21, 2020
** Workshop date: September 21, 2020
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:
* Rule learning for explainable and interpretable machine learning
* Assessment of interpretable and explainable models
* Cognitive approaches and human concept learning
* Human-centered learning and explanation
* Causality of machine learning models
* Local pattern mining for explanation
* Interpretation of black box models
* Explanation of black box models
* Model-agnostic explanation
* Case-based explanation
* Evaluation metrics
* Empirical research on explainability
* Regulations and legal aspects of XAI
* Applications of all of the above
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
All submitted papers must
* be written in English;
* contain author names, affiliations, and email addresses;
* be formatted according to the Springer LNCS template
(
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines);
* be in PDF (make sure that the PDF can be viewed on any
platform).
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.
Workshop Organizers:
====================
Martin Atzmueller, Tilburg University, The Netherlands
Tomáš Kliegr, University of Economics Prague, Czech Republic
Ute Schmid, University of Bamberg, Germany
Program Committee:
==================
Klaus-Dieter Althoff, University of Hildesheim, Germany
Maria Bielikova, Slovak Research Center for AI - slovak.AI
Henrik Boström, KTH Royal Institute of Technology, Sweden
Amit Dhurandhar, IBM TJ Watson Research Center, USA
Johannes Fürnkranz, University of Linz, Austria
Martin Holena, Czech Academy of Sciences, Czech Republic
Eyke Hüllermeier, University of Paderborn, Germany
Kristian Kersting, TU Darmstadt, Germany
Grzegorz Nalepa, Jagellonian University, Poland
Mykola Pechenizkyi, TU Eindhoven, The Netherlands
Marc Plantevit, University Lyon, France
Eric Postma, Tilburg University, The Netherlands
Celine Rouveirol, Université Sorbonne Paris Nord, France
Stefano Teso, KU Leuven, Belgium
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Assoc. Prof. Dr. habil. Martin Atzmueller
Associate Professor, Tilburg University | https://martin.atzmueller.net
Head of the Computational Sensemaking Lab (CSLab) | http://www.cslab.cc
Email: m.atzmuller@uvt.nl | Phone: +31-(0)13 466 4736
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