EXPLAINS 2024 will be held in conjunction with ICINCO 2024, icSPORTS 2024, CHIRA 2024, IN4PL 2024, IJCCI 2024 and CoopIS 2024.
Registration to EXPLAINS allows free access to the ICINCO, icSPORTS, CHIRA, IN4PL, IJCCI and CoopIS conferences (as a non-speaker).
Although the conference is back to the normal mode (i.e., in-person) speakers are allowed to present remotely if unable to travel to the venue (hybrid support).
In the future people will collaborate more and more with machines to solve complex problems using AI techniques. Such a collaboration requires adequate communication, trust, clarity and understanding. eXplainalbe AI (XAI) aims at addressing such challenges by combining the best of symbolic AI and Machine Learning including neural models, evolutionary computing and fuzzy systems. Such topic has been studied for years by all different communities of AI, with different definitions, evaluation metrics, motivations and results. In addition to technology, this involves social and legal issues as well as a wide range of real-world applications and domains. Both interpretability by design methods and post-hoc methods for explaining complex models have been proposed and investigated. Research has also redirected its emphasis on the structure of explanations and human-centered Artificial Intelligence, recognizing that the ultimate users of interactive technologies are humans.
Joaquim Filipe, Polytechnic Institute of Setubal / INSTICC, Portugal
Francesco Marcelloni, University of Pisa, ItalyKurosh Madani, University of Paris-EST Créteil (UPEC), FranceNiki van Stein, Leiden University, Netherlands
Tome Eftimov, Jožef Stefan Institute, SloveniaGabriela Ochoa, University of Stirling, United KingdomRita P. Ribeiro, University of Porto, PortugalJoão Gama, University of Porto, Portugal (Cancelled)
Publications:
It is planned to publish a short list of revised and
extended versions of presented papers with
Springer in a CCIS Series book.
Proceedings will be submitted for evaluation for indexing by: