[Ieee_vis] [CFP] 2nd Workshop on Explainable and Ethical AI (XAIE) at ICPR 2022

[Romain Bourqui]

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  2-nd Workshop on Explainable and Ethical AI (XAIE) – ICPR 2022

<https://xaie-icpr.labri.fr/> 	
26TH International Conference on Pattern Recognition

<https://www.icpr2022.com/>
August 21-^25, 2022
Montréal (Québec) <https://www.icpr2022.com/>


  Call for papers


    About

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.


    Topics

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


    Worshop website 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 websitehttps://xaie-icpr.labri.fr

Papers should be submitted via the EasyChair online submission system at 
the following address: https://easychair.org/my/conference?conf=xaie2022 
<https://easychair.org/my/conference?conf=xaie2022>.


  Program Comittee

  * 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
  * Romain Giot, France, Univ. Bordeaux / LaBRI
  * Théo Jaunet, France, LIRIS
  * Mark Keane, Ireland, UCD Dublin / Insight SFI Centre for Data Analytics
  * Stefanos Kollias, Greece, National Technical University of Athens /
    Image, Video and Multimedia Systems Lab
  * Harold Mouchere, France, Université de Nantes / LS2N
  * Noel O’Connor, Ireland, DCU
  * Dragutin Petkovic, USA, SFSU
  * Nicolas Thome, France, CNAM/Cedric
  * Carlos Toxtli, USA, Northeastern University


  Workshop organizers

  * Jenny Benois-Pineau, France, Univ. Bordeaux / LaBRI
    <mailto:jenny.benois-pineau+icprai at u-bordeaux.fr>
  * Romain Bourqui, France, Univ. Bordeaux / LaBRI
    <mailto:romain.bourqui+icprai at u-bordeaux.fr>
  * Romain Giot, France, Univ. Bordeaux / LaBRI
    <mailto:romain.giot+icprai at u-bordeaux.fr>
  * Dragutin Petkovic, USA, CS Department, San Francisco State
    University <mailto:petkovic at sfsu.edu>

Univ. Bordeaux <http://u-bordeaux.fr> LaBRI <http://labri.fr> CNRS 
<http://cnrs.fr> San Francisco State University <https://www.sfsu.edu/>
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