CFP for IEEE Computational Intelligence Magazine - Special Issue on Explainable and Trustworthy Artificial Intelligence

* Apologies for cross-postings *

Dear colleagues,
    we are organizing a special issue on "Explainable and Trustworthy Artif
icial Intelligence" to be published in the IEEE Computational Intelligence 
Magazine (CIM) by the second half of 2021. Deadline is approaching: 15 Feb 
2021 !

Submission website: https://mc.manuscriptcentral.com/cim-ieee

CIM publishes peer-reviewed articles that present emerging novel discoverie
s, important insights, or tutorial surveys in all areas of computational in
telligence design and applications, in keeping with the Field of Interest o
f the IEEE Computational Intelligence Society (IEEE/CIS).

- Impact Factor: 9.083
- SJR: Q1 (Artificial Intelligence)
- Website: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber207

You are kindly invited to submit a paper for this special issue. In additio
n, we highly appreciate if you can help us to disseminate this Call for Pap
ers among your colleagues.

## Aims and Scope

Computational Intelligence (CI) encompasses the theory, design, application
, and development of biologically and linguistically motivated computationa
l paradigms emphasizing fuzzy systems, neural networks, connectionist syste
ms, genetic algorithms, evolutionary programming, and hybrid intelligent sy
stems in which these paradigms are contained. These techniques and their hy
bridizations work in a cooperative way, taking profit from the main advanta
ges of each individual technique, in order to solve lots of complex real-wo
rld problems for which other techniques are not well suited. CI enables Art
ificial Intelligence (AI) through simulating natural intelligence in all it
s forms.

In the era of the Internet of Things and Big Data, data scientists are requ
ired to extract valuable knowledge from the given data. They first analyze,
 cure and pre-process data. Then, they apply AI techniques to automatically
 extract knowledge from data. AI is identified as a strategic technology an
d it is already part of our everyday life. The European Commission states t
hat  “EU must therefore ensure that AI is developed and applied in 
an  appropriate framework which promotes innovation and respects the Union'
s values and fundamental rights as well as ethical principles such as  acco
untability and transparency”1. It emphasizes the importance of Expl
ainable AI (XAI in short), in order to develop an AI coherent with European
 values: “to further strengthen  trust, people also need to underst
and how the technology works, hence the importance of research into the exp
lainability of AI systems”. Moreover, as remarked in the XAI challe
nge stated by  the USA Defense Advanced Research Projects Agency (DARPA), 
“even though  current AI systems offer many benefits in many applic
ations, their  effectiveness is limited by a lack of explanation ability wh
en  interacting with humans”2. Accordingly, users require a new gen
eration of XAI systems. They are expected to naturally interact with humans
, thus providing comprehensible explanations of decisions automatically mad
e.

XAI is an endeavor to evolve AI methodologies and technology by focusing on
 the development of agents capable of both generating decisions that a huma
n could understand in each context, and explicitly explaining such decision
s. This way, it is possible to scrutinize the intelligent models and verify
 if automated decisions are made on the basis of accepted rules and princip
les, so that decisions can be trusted, and their impact justified.

This Special Issue is supported by the IEEE CIS Task Force on Explainable F
uzzy Systems ([TF-EXFS](https://sites.google.com/view/tf-explainable-fuzzy-
systems/)). The mission of the TF-EXFS is to lead the development of a new 
 generation of Explainable Fuzzy Systems, with a holistic view of  fundamen
tals and current research trends in the XAI field, paying  special attentio
n to fuzzy-grounded knowledge representation and  reasoning but also regard
ing how to enhance human-machine interaction  through multi-modal (e.g., gr
aphical or textual modalities) effective  explanations.

The scope of this special issue is not limited to the community of research
ers in Fuzzy Logic, but it is open to contributions by researchers, from bo
th academy and industry, working in the multidisciplinary field of XAI.


## Topics

This special issue is targeted on general readership articles about design 
and application of XAI technologies.
Topics of interest include, but are not limited to:
- Theoretical Aspects of Explainability, Fairness, Accountability and Trans
parency
- Relations between Explainability and other Quality Criteria (such as Inte
rpretability, Accuracy, Stability, Relevance, etc.)
- Dimensions of Interpretability: Readability versus Understandability
- Explainability Evaluation and Improvements
- Learning Methods and Design Issues for Explainable Systems and Models
- Interpretable Machine Learning
- Explaining Black-box Models
- Hybrid Approaches (e.g., Neuro-Fuzzy systems) for XAI
- Model-specific and Model-agnostic Approaches for XAI
- Models for Explainable Recommendations
- Explainable Conversational Agents
- Self-explanatory Decision-Support Systems
- Factual and Counterfactual Explanations
- Causal Thinking, Reasoning and Modeling
- Cognitive Science and XAI
- Argumentation Theory for XAI
- Natural Language Technology for XAI
- Human-Machine Interaction for XAI
- Ethics and Legal Issues for XAI
- XAI-based Data Analysis and Bias Mitigation
- Safe and Trustworthy AI
- Applications of XAI-based Systems
- Open Source Software for XAI


## Submission

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed 
high-quality articles. All manuscripts must be submitted electronically in 
PDF format. Manuscripts must be in standard IEEE two-column/single space fo
rmat and adhere to a length of 10-12 pages (including figures and reference
s) for regular  papers. A mandatory page charge is imposed on all papers ex
ceeding 12 pages in length.

More information on manuscript details and submission guidelines can be fou
nd at the following websites:
- Special Issue website: https://sites.google.com/view/special-issue-on-xai
-ieee-cim  
- IEEE CIM website: https://cis.ieee.org/publications/ci-magazine/cim-infor
mation-for-authors


## Important Dates

- Manuscript Due: **15th February, 2021**
- First Notification: 15th April, 2021
- Revision Due: 15th May, 2021
- Final Notification: 1st July, 2021
- Publication Date: November 2021


## Guest Editors

- José María Alonso, Research Centre in Intelligent Technologies 
(CiTIUS), University of Santiago de Compostela, Spain
- Corrado Mencar, Department of Informatics, University of Bari “Al
do Moro”, Bari, Italy
- Hisao Ishibuchi, Department of Computer Science and Engineering, Southern
 University of Science and Technology, Shenzhen, China