(Apologies for cross-postings) https://www.journals.elsevier.com/information-sciences/call-for-papers/modeling-imprecise-information-and-knowledge-to-improve-explanability-in-ai
*Aims and scope* XAI lies at the intersection of different fields, which include, let alone Artificial Intelligence, Cognitive and Social Sciences, Human Computer Interaction, Philosophy and Psychology among others. The strong multidisciplinary character of XAI is due to the centrality of people in all aspects of the development and deployment of XAI systems. People have an exceptional ability to manage the complexity of phenomena through mental processes such as organization, granulation and causation. A key factor is the capability of managing imprecision in forms that are well captured by several theories within the Granular Computing paradigm, such as Fuzzy Set Theory, Rough Set Theory, Interval Computing and hybrid theories among others. Endowing XAI systems with the ability of dealing with the many forms of imprecision, not only in the inference processes that lead to automated decisions, but also in providing explanations, is a key challenge that can push forward current XAI technologies towards more trustworthy systems and full collaborative intelligence. Topics of interest include, but are not limited to: - Foundational and philosophical aspects of imprecision in information and knowledge - Theoretical advancements in imprecision modeling in AI - Imprecision modeling methods to improve explainability in AI New technologies for representing and processing imprecision in XAI systems - Real-world applications and case studies that demonstrate explainability improvements through imprecision management *Submission guidelines and review process* Papers must be submitted according to the standard procedure of Information Sciences, selecting the S.I. "Managing imprecision and uncertainty in XAI systems”. All submitted papers should report original work and provide meaningful contributions to the current state of the art. Each submitted paper will undergo a first screening by the Guest Editors. If the submission falls within the scope of the SI, it will undergo a regular revision process. Acceptance criteria are the same of regular issues of the journal. *Important dates* - Submission start: November 1st, 2021 - Paper submission deadline: January 28th, 2022 (If a few more days are needed, please contact the GEs for a possible extension) - Notification of first-round review results: July 15th, 2022 - Tentative period for final publication: Fall 2022 Authors guidelines and journal information can be found at https://www.journals.elsevier.com/information-sciences *Guest Editors* Angelo Ciaramella - Università degli Studi di Napoli Parthenope, Italy Corrado Mencar - Università degli Studi di Bari Aldo Moro, Italy Susana Montes - Universidad de Oviedo, Spain Stefano Rovetta - Università degli Studi di Genova, Italy For any information, please contact Corrado Mencar <corrado.men...@uniba.it> -- _____________________________________ Corrado Mencar <https://persone.ict.uniba.it/rubrica/corrado.mencar> Associate Professor / Professore Associato Università degli Studi di Bari Aldo Moro, Italy.
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