AIMLAI@CIKM2020: International Workshop on Advances in Interpretable
Machine Learning and Artificial Intelligence
Website: https://project.inria.fr/aimlai/
Submission link: https://easychair.org/conferences/?conf=aimlaicikm20
Submission deadline: July 22th, 2020
** Description **
The purpose of AIMLAI (Advances in Interpretable Machine Learning and
Artificial Intelligence) is to encourage principled research leading to
the advancement of explainable, transparent, ethical and fair data
mining, machine learning, and artificial intelligence. AIMLAI is a
workshop that seeks top-quality submissions addressing uncovered
important issues related to explainable and interpretable data mining
and machine learning models. Papers should present research results in
any of the topics of interest for the workshop as well as application
experiences, tools and promising preliminary ideas. AIMLAI asks for
contributions from researchers, in academia or industry, working on
topics addressing these challenges primarily from a technical point of
view, but also from a legal, ethical or sociological perspective.
Besides the central topic of interpretable algorithms and explanation
methods, we also welcome submissions that answer the following two
research questions: (i) "how to measure and evaluate interpretability
and explainability?" and (ii) "how to integrate humans in the machine
learning pipeline for interpretability purposes?".
** Topics **
Interpretable ML
Supervised ML (classifiers, regressors, …)
Unsupervised ML (clustering, dimensionality reduction,
visualisation, …)
Explaining recommendation systems
Transparency in AI and ML
Ethical aspects
Legal aspects
Fairness issues
Methodology and formalization of interpretability
Formal measures of interpretability
Interpretability/complexity trade-offs
How to evaluate interpretability
User-centric interpretability
Interpretability modules: generating explanations for ML and AI
algorithms
Semantic interpretability: how to add semantics to explanations
Human-in-the-loop to construct and/or evaluate interpretable models
Integration of ML algorithms, infovis and man-machine interfaces
** Submission Guidelines **
Papers must be written in English and formatted according to the ACM
proceedings format. Overlength papers will be rejected without review
(papers with smaller page margins and font sizes than specified in the
author instructions and set in the style files will also be treated as
overlength).
Authors who submit their work to AIMLAI 2020 commit themselves to
present their paper at the workshop in case of acceptance. AIMLAI 2020
considers the author list submitted with the paper as final. No
additions or deletions to this list may be made after paper submission,
either during the review period, or in case of acceptance, at the final
camera ready stage.
Condition for inclusion in the post-proceedings is that at least one of
the co-authors has presented the paper at the workshop. Pre-proceedings
will be available online before the workshop. All papers for AIMLAI
2020 must be submitted to the on-line submission system at
https://easychair.org/conferences/?conf=aimlaicikm20.
** Program Chairs **
- Adrien Bibal, University of Namur, Belgium
- Tassadit Bouadi, University of Rennes/IRISA, France
- Benoît Frénay, University of Namur, Belgium
- Luis Galárraga, Inria/IRISA, France
- José Oramas, University of Antwerp, Belgium
** Venue **
The conference will be co-located with the conference CIKM, which will
be held online on October 19th-23rd, 2020. The exact date of the
workshop has not yet been defined, but it will take place on either
October 19th or 20th.
** Publication **
All accepted papers will be published as post-proceedings and included
in a CIKM companion volume published by http://ceur-ws.org/.
** Contact **
All questions about submissions should be emailed to
aimlaicik...@easychair.org.
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