Connectionists: 3rd Italian Workshop on Explainable Artificial Intelligence (XAI.it) - CALL FOR PAPERS

Riccardo Guidotti riccardo.guidotti at unipi.it
Mon Sep 5 08:25:26 EDT 2022


*** Apologies for cross-postings ***



XAI.it Workshop @AIxIA 2022 - CALL FOR PAPERS

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3rd Italian Workshop on Explainable Artificial Intelligence (XAI.it)

November 28 - December 2, 2022



co-located with AIxIA 2022 ( https://aixia2022.uniud.it/
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 ) - Udine, Italy



Twitter: https://twitter.com/XAI_Workshop
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Web: http://www.di.uniba.it/~swap/xai-it/
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Submission: https://easychair.org/my/conference?conf=xaiit2022
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For any information: cataldo.musto at uniba.it



=========

HIGHLIGHTS

=========

- DEADLINE: October 3, 2022

- CEUR conference proceedings



=========

ABSTRACT

=========

Nowadays we are witnessing a new summer of Artificial Intelligence, since
AI-based algorithms are being adopted in a growing number of contexts and
applications domains, ranging from media and entertainment to medical,
finance, and legal decision-making. While the very first AI systems were
easily interpretable, the current trend showed the rise of opaque
methodologies such as those based on Deep Neural Networks (DNN), whose
(very good) effectiveness is contrasted by the enormous complexity of the
models, which is due to the huge number of layers and parameters that
characterize these models.



As intelligent systems become more and more widely applied (especially in
very 'sensitive' domains), it is not possible to adopt opaque or
inscrutable black-box models or to ignore the general rationale that guides
the algorithms in the task it carries on Moreover, the metrics that are
usually adopted to evaluate the effectiveness of the algorithms reward very
opaque methodologies that maximize the accuracy of the model at the expense
of transparency and explainability.



This issue is even more felt in the light of recent experiences, such as
the General Data Protection Regulation (GDPR) and DARPA's Explainable AI
Project, which further emphasized the need and the right for scrutable and
transparent methodologies that can guide the user in complete comprehension
of the information held and managed by AI-based systems.



Accordingly, the main motivation of the workshop is simple and
straightforward: how can we deal with such a dichotomy between the need for
effective intelligent systems and the right to transparency and
interpretability?



These questions trigger several lines, that are particularly relevant for
the current research in AI. The workshop tries to address these research
lines and aims to provide a forum for the Italian community to discuss
problems, challenges, and innovative approaches in the area.



======

TOPICS

======



Several research questions are triggered by this workshop:

1. How to design more transparent and more explainable models that maintain
high performance?

2. How to allow humans to understand and trust AI-based systems and methods?

3. How to evaluate the overall transparency and explainability of the models



Topics of interest:



- Explainable Artificial Intelligence

- Interpretable and Transparent Machine Learning Models

- Strategies to Explain Black Box Decision Systems

- Designing new Explanation Styles

- Evaluating Transparency and Interpretability of AI Systems

- Technical Aspects of Algorithms for Explanation

- Theoretical Aspects of Explanation and Interpretability

- Ethics in Explainable AI

- Argumentation Theory for Explainable AI



============

SUBMISSIONS

===========

We encourage the submission of original contributions that investigate
novel methodologies to build transparent and scrutable AI systems and
algorithms. In particular, authors can submit:



(A) Regular papers (max. 12 + references - CEUR.ws format);

(B) Short/Position papers (max 6 pages + references - CEUR.ws format);



Submission Site: https://easychair.org/my/conference?conf=xaiit2022
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All submitted papers will be evaluated by at least two members of the
program committee, based on originality, significance, relevance and
technical quality. Papers should be formatted according to the CEUR.ws
format (http://ceur-ws.org/Vol-XXX/CEURART.zip
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).



Submissions should be single-blinded, i.e. authors' names should be
included in the submissions.

Submissions must be made through the EasyChair conference system prior to
the specified deadline (all deadlines refer to GMT).



At least one of the authors should register and take part in the conference
to make the presentation.



================

IMPORTANT DATES

===============



* Paper submission deadline: October 3, 2022 (11:59PM UTC-12)

* Notification to authors: October 30, 2022

* Camera-Ready submission: November 7, 2022



================

PROCEEDINGS AND POST-PROCEEDINGS

===============

All accepted papers will be published in the AIxIA series of CEUR-WS.
Authors of selected papers, accepted to the workshops, will be invited to
submit a revised and extended version of their work.



=============

ORGANIZATION

=============



Cataldo Musto - University of Bari, Italy

Riccardo Guidotti - University of Pisa, Italy

Anna Monreale - University of Pisa, Italy

Giovanni Semeraro - University of Bari, Italy



=======================

PROGRAM COMMITTEE

=======================

Davide Bacciu, University of Pisa

Valerio Basile, University of Torino

Ludovico Boratto, EURECAT

Roberta Calegari, University of Bologna

Roberto Capobianco, Sapienza University of Rome

Federica Cena, University of Torino

Nicolo' Cesa-Bianchi, University of Milano

Roberto Confalonieri, Free University of Bozen-Bolzano

Rodolfo Delmonte, University Ca' Foscari

Mauro Dragoni, Fondazione Bruno Kessler

Stefano Ferilli, University of Bari

Alessandro Giuliani, University of Cagliari

Andrea Iovine, University of Bari

Kyriaki Kalimeri, ISI Foundation

Antonio Lieto, University of Torino

Francesca A. Lisi, University of Bari

Noemi Mauro, University of Torino

Alessandro Mazzei, University of Torino

Andra Omicini, University of Bologna

Antonio Rago, Imperial College London

Amon Rapp, University of Torino

Gaetano Rossiello, IBM Research

Salvatore Ruggieri, University of Pisa

Giuseppe Sansonetti, Roma Tre University

Mattia Setzu, University of Pisa

Stefano Teso, Katholieke Universiteit Leuven

Gabriele Tolomei, Sapienza University of Rome

Autilia Vitiello, University of Naples

-- 
Riccardo Guidotti
Dipartimento di Informatica
Università di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa
Mail: riccardo.guidotti at unipi.it
Web: http://kdd.isti.cnr.it/homes/guidotti/
KDD Lab, Room: 363
Phone: +39 050 221 3134
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