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Call for papers:

*******2-nd WS on Explainable and Ethical AI – ICPR’ 2022, ********

***** to be held on August 21, 2022 in Montreal *******************************

We are witnessing the emergence of an “AI economy and society” where AI technologies are increasingly impacting many aspects of business as well as everyday life. We read with great interest about recent advances in AI medical diagnostic systems, self-driving cars, ability of AI technology to automate many aspects of business decisions like loan approvals, hiring, policing etc. However, AI systems may produce errors, can exhibit overt or subtle bias, may be sensitive to noise in the data, and often lack technical and judicial transparency and explainability. These shortcomings are raising many ethical and policy concerns not only in technical and academic communities, but also among policymakers and general public, and will inevitably impede wider adoption of AI in society.

The problems related to Ethical AI are complex and broad and encompass not only technical issues but also legal, political and ethical ones. One of the key components of Ethical AI systems is explainability or transparency, but other issues like detecting bias, ability to control the outcomes, ability to objectively audit AI systems for ethics are also critical for successful applications and adoption of AI in society. Consequently, explainable and Ethical AI are very current and popular topics in various communities. Our proposed workshop aims to address technical aspects of explainable and ethical AI in general, and include related applications and case studies with the aim to address this very important problems from a broad technical perspective.

The topics comprise but are not limited to:

·       Naturally explainable AI methods

·       Post-Hoc Explanation methods of Deep Neural Networks and Transformers

·       Technical issues in AI ethics including automated audits, detection of bias, ability to control AI systems to prevent harm and others

·       Methods to improve AI explainability in general, including algorithms and evaluation methods

·       User interface and visualization for achieving more explainable and ethical AI

·       Real world applications and case studies

WorkShop Web Site: https://xaie-icpr.labri.fr

Important Dates:

• April 16, 2022: Submission deadline
• May 24, 2022: Reviews due
• May 31, 2022: Final decision
• June 6, 2022: Camera ready and early bid registration deadline
• August 21, 2022: Workshop

Paper Submission:

The Proceedings of the EDL-AI 2020 workshop will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Papers will be selected by a single blind (reviewers are anonymous) review process. Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines . Two types of contribution will be considered:

    Full paper (12-15 pages)

    Short papers (6-8 pages)

Paper Templates: are available on the website: https://xaie-icpr.labri.fr

Program Committee:

    Alexandre Benoit, France, University Savoie Mont Blanc / LISTIC

    Jenny Benois-Pineau, France, Univ. Bordeaux / LaBRI

    Romain Bourqui, France, Univ. Bordeaux / LaBRI

    André CPLF de Carvalho, Brazil, University of Sao Paulo / ICMC

    Christophe Garcia, France, LIRIS

    Mark Keane, Ireland, UCD Dublin / Insight SFI Centre for Data Analytics

    Harold Mouchere, France, Université de Nantes / LS2N

    Romain Giot, France, Univ. Bordeaux / LaBRI

    Théo Jaunet, France, LIRIS

    Stefanos Kollias, Greece, National Technical University of Athens / Image, Video and Multimedia Systems Lab

    Noel O’Connor, Ireland, DCU

    Dragutin Petkovic, USA, SFSU

    Nicolas Thome, France, CNAM/Cedric

    Carlos Toxtli, USA, Northeastern University

Jenny Benois-Pineau, Romain Giot, Romain Bourqui and Dragutin Petkovic

Workshop Organizers

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