CFP:  " Trust in Artificial Intelligence: Beyond Interpretability" at ESANN 2024

Special session at European Symposium on Artificial Neural Networks, 
Computational Intelligence and Machine Learning (ESANN 2023). 9-11 October 
2024, Bruges, Belgium. 
https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.esann.org%2F&data=05%7C02%7Cuai%40engr.orst.edu%7C62bb74c512714f66b49608dc1db241fe%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638417898678267642%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=w7u%2FdmdQQuqGVej1fGUNFhA4pLBoinXvOFkbQPI9bqg%3D&reserved=0<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.esann.org%2F&data=05%7C02%7Cuai%40engr.orst.edu%7C62bb74c512714f66b49608dc1db241fe%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638417898678267642%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=w7u%2FdmdQQuqGVej1fGUNFhA4pLBoinXvOFkbQPI9bqg%3D&reserved=0>

DESCRIPTION:

Trustworthiness is a central issue in modern machine learning and deep 
learning.  This has been further exacerbated by recent exposure of the general 
public to generative models.  Often, discussions related to trust are limited 
to interpretability and explainability, but such properties are not sufficient. 
 This special session aims to go beyond and explore recent ideas to achieve 
trust in AI.

Topics of interest of the special session include (but are not limited to):

·         new formalisms to enable trust-by-design in AI (e.g., blending logics 
and deep learning, inference methods based on model checking and other software 
engineering techniques...);

·         innovative techniques for interpretability and explainability;

·         constraint enforcement to increase trust in black box models;

·         interactive techniques to manipulate models (i.e., to add user 
feedback in learning);

·         certification and testing techniques to increase trust in AI;

·         theoretical models of trust in AI, including those based on cognitive 
sciences;

·         Interactions (e.g., trade-offs, privacy ) between privacy and trust 
in AI;

·         empirical studies (inc. user studies) related to trust in AI.

Interdisciplinary works are particularly welcome.

All papers will be submitted to a peer review process. Accepted papers will be 
presented as either talks or posters, in order to favour interaction with the 
ESANN attendees. There is no difference in quality between talks and posters 
and all papers will be published in the conference proceedings. At least one 
author is expected to register for the conference and pay the registration fee.

SUBMISSION:

Prospective authors must submit their paper through the ESANN portal following 
the instructions provided on 
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.esann.org%2Fnode%2F6&data=05%7C02%7Cuai%40engr.orst.edu%7C62bb74c512714f66b49608dc1db241fe%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638417898678267642%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=f2B2Fo4t4P1%2BZPG6nUV9RkNqMnkPLGPAkZ0XMCUjL1w%3D&reserved=0.
 Author guidelines are available on 
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.esann.org%2Fauthor_guidelines&data=05%7C02%7Cuai%40engr.orst.edu%7C62bb74c512714f66b49608dc1db241fe%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638417898678267642%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=E%2B4YDXWIsmu8FheaoU%2Fhh2quuLcP2OFEEjTIJOSJ%2Bw0%3D&reserved=0.
 Each paper will undergo a peer reviewing process for its acceptance. Authors 
should send an e-mail with the tentative title of their contribution to the 
special session organizers as soon as possible.

IMPORTANT DATES:

Paper submission deadline: 2 May 2024
Notification of acceptance: 16 June 2024
The ESANN 2023 conference: 9-11 October 2024

SPECIAL SESSION ORGANISERS:

·         Tassadit Bouadi - Université de Rennes, France - 
tassadit.bou...@irisa.fr<mailto:tassadit.bou...@irisa.fr>

·         Benoît Frénay - UNamur, Belgium - 
benoit.fre...@unamur.be<mailto:benoit.fre...@unamur.be>

·         Luis Galárraga - INRIA/IRISA, France - 
luis.galarr...@inria.fr<mailto:luis.galarr...@inria.fr>

·         Pierre Geurts - ULiège, Belgium - 
p.geu...@uliege.be<mailto:p.geu...@uliege.be>

·         Barbara Hammer - Bielefeld University, Germany - 
bham...@techfak.uni-bielefeld.de<mailto:bham...@techfak.uni-bielefeld.de>

·         Gilles Perrouin - UNamur, Belgium - 
gilles.perro...@unamur.be<mailto:gilles.perro...@unamur.be>

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