Connectionists: XKDD 2023 - Call for Papers

Fri May 26 09:54:55 EDT 2023

XKDD 2023 - Call for Papers
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5th ECML-PKDD International Workshop on eXplainable Knowledge
Discovery in Data Mining
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CONTEXT & OBJECTIVES
In the past decade, machine learning based decision systems have been
widely used in a wide range of application domains,  like credit
score, insurance risk, and health monitoring, in which accuracy is of
the utmost importance.
Although the support of these systems has an immense potential to
improve the decision in different fields, their use may present
ethical and legal risks, such as codifying biases, jeopardizing
transparency and privacy, and reducing accountability.
Unfortunately, these risks arise in different applications. They are
made even more serious and subtly by the opacity of recent decision
support systems, which are often complex and their internal logic is
usually inaccessible to humans.

Nowadays, most Artificial Intelligence (AI) systems are based on
Machine Learning algorithms.
The relevance and need for ethics in AI are supported and highlighted
by various initiatives arising from the researches to provide
recommendations and guidelines in the direction of making AI-based
decision systems explainable and compliant with legal and ethical
issues.
These include the EU's GDPR regulation which introduces, to some
extent, a right for all individuals to obtain ``meaningful
explanations of the logic involved'' when automated decision making
takes place, the ``ACM Statement on Algorithmic Transparency and
Accountability'', the Informatics Europe's ``European Recommendations
on Machine-Learned Automated Decision Making'' and ``The ethics
guidelines for trustworthy  AI'' provided by the  EU High-Level Expert
Group on AI.

The challenge to design and develop trustworthy AI-based decision
systems is still open and requires a joint effort across technical,
legal, sociological and ethical domains.

The purpose of XKDD, eXplaining Knowledge Discovery in Data Mining, is
to encourage principled research that will lead to the advancement of
explainable, transparent, ethical and fair data mining and machine
learning.
Also, this year the workshop will seek submissions addressing
uncovered important issues in specific fields related to eXplainable
AI (XAI), such as XAI for a more Social and Responsible AI, XAI as a
tool to align AI with human values, XAI for Outlier and Anomaly
Detection, quantitative and qualitative evaluation of XAI approaches,
and XAI case studies.
The workshop will seek top-quality submissions related to ethical,
fair, explainable and transparent data mining and machine learning
approaches.
Papers should present research results in any of the topics of
interest for the workshop, as well as tools and promising preliminary
ideas.
XKDD asks for contributions from researchers, academia and industries,
working on topics addressing these challenges primarily from a
technical point of view but also from a legal, ethical or sociological
perspective.

Topics of interest include, but are not limited to:

TOPICS
 -   XAI for Social AI
 -   XAI for Responsible AI
 -   XAI to Align AI with Human Values
 -   XAI for Outlier and Anomaly Detection
 -   Quantitative and Qualitative Evaluation of XAI approaches
 -   Transparent-by Design Models
 -   XAI Case studies
 -   XAI for Privacy-Preserving Systems
 -   XAI for Federated Learning
 -   XAI for Time Series based Approaches
 -   XAI for Graph based Approaches
 -   XAI for Visualization
 -   XAI in Human-Machine Interaction
 -   XAI in Human-in-the-Loop Interactions
 -   Counterfactual Explanations
 -   Human-Model Interfaces for XAI approaches
 -   Explainable Artificial Intelligence (XAI)
 -   Interpretable Machine Learning
 -   Transparent Data Mining
 -   XAI for Fairness Checking
 -   Explanation, Accountability and Liability from an Ethical and
Legal Perspective

XKDD 2023 is a Workshop of the ECML-PKDD Conference: https://2023.ecmlpkdd.org/

SUBMISSION & PUBLICATION
All contributions will be reviewed by at least three members of the
Program Committee. As regards size, contributions can be up to is 14
pages references excluded in LNCS format, i.e., the ECML PKDD 2023
submission format. All papers should be written in English. The
following kinds of submissions will be considered: research papers,
tool papers, case study papers and position papers. Detailed
information on the submission procedure is available at the workshop
web page:
http://xkdd2023.isti.cnr.it/

If pandemic conditions permit, the workshop will be held in an on-site
format. Recordings of the lectures will be made available to all
registered participants.

Accepted papers will be published after the workshop by Springer in a
volume of Lecture Notes in Computer Science (LNCS). The condition for
inclusion in the post-proceedings is that at least one of the
co-authors registered to ECML-PKDD and presented the paper at the
workshop. Pre-proceedings will be available online before the
workshop. We also allow accepted papers to be presented without
publication in the conference proceedings if the authors choose to do
so. Some of the full paper submissions may be accepted as short papers
after review by the Program Committee. A special issue of a relevant
international journal with extended versions of selected papers is
under consideration.

The submission link is:
https://cmt3.research.microsoft.com/ECMLPKDDworkshop2023/Track/16/Submission/Create

IMPORTANT DATES
Paper Submission deadline: June 20, 2023
Accept/Reject Notification: July 13, 2023
Camera-ready deadline: July 31, 2023
Workshop: September 18, 2023

PROGRAM CO-CHAIRS
* Przemyslaw Biecek, Warsaw University of Technology, Poland
* Tania Cerquitelli, Politecnico di Torino, Torino, Italy
* Riccardo Guidotti, University of Pisa, Italy
* Francesca Naretto, Scuola Normale Superiore, Pisa, Italy
* Daniele Regoli, Instesa San Paolo, Italy

PROGRAM COMMITEE

* Miguel Couceiro, UniversitÃ© de Lorraine, France
* Alessandro Castelnovo, Intesa San Paolo, Italy
* Riccardo Crupi, Intesa San Paolo, Italy
* Josep Domingo-Ferrer, Universitat Rovira i Virgili, Spain
* FranÃ§oise Fessant, Orange Labs, France
* Salvatore Greco, Politecnico di Torino, Italy
* Andreas Holzinger, Medical University of Graz, Austria
* Paulo Lisboa, Liverpool John Moores University, UK
* Marcin Luckner, Warsaw University of Technology, Poland
* Amedeo Napoli, CNRS, France
* John Mollas, Aristotle University of Thessaloniki, Greece
* Enea Parimbelli, University of Pavia, Italy
* Francesca Pratesi, ISTI-CNR, Italy
* Roberto Prevete, University of Napoli, Italy
* Antonio Rago, Imperial College London, UK
* Eliana Pastor, Politecnico di Torino, Italy
* Jan Ramon, Inria, France
* Xavier Renard, AXA, France
* Mahtab Sarvmaili, Dalhousie University, Canada
* Udo Schlegel, Konstanz University, Germany
* Mattia Setzu, University of Pisa, Italy
* Dominik Slezak, University of Warsaw, Poland
* Myra Spiliopoulou, University Magdeburg, Germany
* Francesco Spinnato, Scuola Noramle Superiore, Italy
* Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece
* Genoveva Vargas-Solar, CNRS, LIRIS, France
* Albrecht Zimmermann, UniversitÃ© de Caen, France

INVITED SPEAKERS
* Andreas Theissler, Aalen University of Applied Sciences, Aalen, Germany
* Dino Pedreschi, University of Pisa, Italy (tentative)

STEERING COMMITTEE
* Riccardo Guidotti, University of Pisa
* Anna Monreale, University of Pisa
* Salvatore Rinzivillo, ISTI-CNR, Pisa

VENUE
The event will take place at the ECML-PKDD 2023 Conference at the
Officine Grandi Riparazioni (OGR).

CONTACT
All inquiries should be sent to francesca.naretto at di.unipi.it,
riccardo.guidotti at unipi.it

-- 
Francesca Naretto
Ph.D. student in Data Science
francesca.naretto at sns.it
SNS, Pisa | CNR, Pisa
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