AIMLAI 2021 : 4th International Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence
Call For Papers
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.
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
Formal measures of interpretability
Methodological guidelines to evaluate 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
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
All accepted papers will be published as post-proceedings.
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.
All questions about submissions should be emailed to email@example.com.