We invite researchers working on interpretability and explainability in
ML/AI, and related topics, to submit regular (8 pages, single column) or
short (3 pages, single column) papers to the AIMLAI workshop that will
be held virtually at ECML/PKDD 2021.
Website: https://project.inria.fr/aimlai/
Submission link: https://easychair.org/conferences/?conf=aimlaiecml21
Submission deadline: June 24th, 2021
The purpose of AIMLAI (Advances in Interpretable Machine Learning and
Artificial Intelligence) is to encourage principled research that will
lead 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, academia and 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 research questions like "how to
measure and evaluate interpretability and explainability?" and "how to
integrate humans in the machine learning pipeline for interpretability
purposes?". This year's edition of AIMLAI is open to two kinds of
submissions: regular papers (8 pages, single column) presenting novel
ideas, and extended abstracts (3 pages, single column) of already
published works.
A non-exhaustive list of topics that are of interest for AIMLAI are the
following:
* Interpretability and explanations in machine learning
* Machine learning models that are directly interpretable
* Explanation modules for black-box models (post-hoc interpretability)
* Methodology and formalization of interpretability
* Interpretability/complexity trade-off
* Formal measures of interpretability
* Methodological guidelines to evaluate interpretability
* User-centric interpretability
* Semantic interpretability: how to add semantics to explanations?
* Human-in-the-loop to construct and/or evaluate interpretable models
* Combining of ML models with infovis and man-machine interfaces
* Transparency in AI and ML
* Ethical aspects
* Legal aspects
* Fairness issues
While interpretability and explanations for classical supervised
learning models are always welcome, ideas on techniques and
definitions/formalizations of these concepts in unsupervised learning
are particularly welcome.
* Submission Guidelines
Papers must be written in English and formatted according to the
Springer LNCS guidelines. Regular papers must be 8 pages long maximum.
Extended abstracts are restricted to a maximum of 3 pages. 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 2021 commit themselves to
present their paper at the workshop in case of acceptance. AIMLAI 2021
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 (virtually) presented the paper at the workshop.
Pre-proceedings will be available online before the workshop. A special
issue in a relevant international journal with extended versions of the
selected papers is under consideration.
All papers for AIMLAI 2021 must be submitted by using the online
submission system at
https://easychair.org/conferences/?conf=aimlaiecmlpkdd21.
* 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/imec-IDLab, Belgium
* Important dates
All dates are given in Central European Standard Time (CEST).
* Paper submission deadline: June 24th, 2021 at 11.59 pm
* Paper reviewing period: June 28th to July 14th, 2021
* Paper Notifications: July 16th, 2021
* Camera-ready deadline: July 30th, 2021
* Publication
All accepted papers will be published as post-proceedings.
* Venue
The workshop will be co-located with the conference ECML/PKDD 2021,
which will be held online from the 13th to the 17th of September, 2021.
* Contact
All questions about submissions should be emailed to
aimlaiecm...@easychair.org.
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