Connectionists: WS ICPR'2024 XAIe. 2 weeks left

[jbenoisp]

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***********************Call for papers*****************************************************
3rd Workshop on Explainable and Ethical AI jointly with ICPR’2024  
https://xaie.sciencesconf.org/
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The third edition of WS XAI-E follows two successful editions at ICPR’2020( https://edl-ai-icpr.labri.fr/ ) and ICPR’2022 (https://xaie-icpr.labri.fr/).
The WS will be held on December 1st 2024 in Kolkata, India jointly with the ICPR’2024 conference https://icpr2024.org/. 

**The topics covered by the workshop are: 
	- Naturally explainable AI methods, 
	- Post-Hoc Explanation methods of Deep Neural Networks, including transformers and Generative AI, 
	- Evaluation metrics for Explanation methods,
	- Hybrid XAI, 
	- XAI in generative AI,
	- Visualization of Explanations and user interfaces,
	- Image-to-text explanations,
	- Concept-based explanations,
	- Use of explanation methods for Deep NN  models in training and generalization.
	- Ethical considerations when using pattern recognition models,
	- Real-World Application of XAI methods 

Methodology in explainability is related to the creation of explanations, their representation, as well as the quantification of their confidence, while those in AI ethics include automated audits, detection of bias in data and models, ability to control AI systems to prevent harm…. and others methods  to improve AI explainability in general and trustfulness to AI. 

We are witnessing the emergence of an “AI economy and society” where AI technologies are increasingly impacting many aspects of business as well as of everyday life. We read with great interest about recent advances in AI medical diagnostic systems, self-driving cars, and the ability of AI technology to automate many aspects of business decisions like loan approvals, hiring, policing etc. In the last years, generative AI is emerging as a major topic promising great benefits but also raising well-founded fears of significant disruption to all aspects of society. Its problems like “hallucinations” and bias are also well known.  However, as evident by recent experiences, 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 have been reported in scientific but also and importantly in general press (accidents with self-driving cars, biases in AI-based policing, hiring and loan systems, biases in face recognition, seemingly correct medical diagnoses later found to be made due to wrong reasons etc.). These shortcomings are raising many ethical and policy concerns not only in technological and research 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. They 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 urgent and popular topics both in IT as well as in business, legal and philosophy communities. Many workshops in this field are held at top conferences. 
The third  workshop on explainable AI at ICPR aims to address methodological aspects of explainable and ethical AI in general, and include related applications and case studies with the aim to address these very important problems from a broad research  perspective.

** Organizing committee: 
Prof. J. Benois-Pineau, University of Bordeaux, jenny.benois-pineau at u-bordeaux.fr
Dr. R. Bourqui, University of Bordeaux, romain.bourqui at u-bordeaux.fr
Dr. R. Giot, University of Bordeaux, romain.giot at u-bordeaux.fr
Prof. D. Petkovic, CS Department, San Francisco State University,  petkovic at sfsu.edu

**Important dates: 
	-July 14, 2024: paper submission 
	-September 20, 2024: Notification to authors
	-September 27, 2024: Camera ready versions


The WS papers will be published in the proceedings of ICPR’2024.
 
Romain Giot, Jenny Benois-Pineau, Romain Bourqui, Dragutin Petkovic 
WS organizers 

Jenny Benois-Pineau, 
Professeure en Informatique, 
Chargée de mission aux relations Internationales
Collège Sciences et Technologies, 
Université de Bordeaux
351, crs de la Libération
33405 Talence
France
tel.: +33 (0) 5 40 00 84 24

Jenny Benois-Pineau, PhD, HDR, 
Professor of Computer Science, 
Chair of International relations
School of Sciences and Technologies
University of Bordeaux 
351, crs de la Libération
33405 Talence
tel.: +33 (0) 5 40 00 84 24

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