CfP #2: Special Issue on Information Sciences "Modeling imprecise information and knowledge to improve explanability in AI"

[Corrado Mencar]

(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...@uniba.it>

[Corrado Mencar]

please notice that late submissions are still accepted. Prospective
authors should contact corrado...@uniba.it for further information.