Special Session

Advances on eXplainable Artificial Intelligence

Organized by: Jose M. Alonso, Ciro Castiello, Corrado Mencar, Luis Magdalena

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Note: this session has been accepted for the FUZZ-IEEE 2020 conference which will be held as part of the 2020 IEEE WCCI in Glasgow, UK, July 19-24, 2020.

In the era of the Internet of Things and Big Data, data scientists are required to extract valuable knowledge from the given data. They first analyze, cure and pre-process data. Then, they apply Artificial Intelligence (AI) techniques to automatically extract knowledge from data.

Our focus is on knowledge representation and how to enhance human-machine interaction. As remarked in the last challenge stated by the USA Defense Advanced Research Projects Agency (DARPA), "even though current AI systems offer many benefits in many applications, their effectiveness is limited by a lack of explanation ability when interacting with humans". Accordingly, users without a strong background on AI, require a new generation of explainable AI systems (XAI in short). They are expected to naturally interact with humans, thus providing comprehensible explanations of decisions automatically made. Thus, the goal of this special session is to discuss and disseminate the most recent advancements focused on explainable AI. The session goes a step ahead with respect to the previous events we organized in some other conferences: XAI@INLG2019, XAI@FUZZ-IEEE2019, XAI@IEEESMC, IPMU2018, FUZZ-IEEE2017, IFSA-EUSFLAT2015, EUSFLAT 2013, IEEEWCCI 2012, IEEEWCCI 2010, and joint IFSA-EUSFLAT 2009. Moreover, this session is supported by the H2020 MSCA-ITN-2019 NL4XAI project.

The aim of this session is to offer an opportunity for researchers and practitioners to identify new promising research directions on XAI and to provide a forum to disseminate and discuss XAI, with special attention to Interpretable Fuzzy Systems. Notice that about 30% of publications in Scopus (20 October 2017) regarding XAI came from authors well recognized in the field of Fuzzy Logic, as described in the following publication:

Jose M. Alonso, C. Castiello, C. Mencar, "A Bibliometric Analysis of the Explainable Artificial Intelligence Research Field", 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Cádiz, Spain, Springer, CCIS 853:2-15, 2018.

Scope and topics

  • Explainable Computational Intelligence
  • Theoretical Aspects of Interpretability
  • Dimensions of Interpretability: Readability versus Understandability
  • Learning Methods for Interpretable Systems and Models
  • Interpretability Evaluation and Improvements
  • Models for Explainable Recommendations
  • Design Issues
  • Successful Applications of Interpretable AI Systems
  • Interpretable Machine Learning
  • Interpretable Fuzzy Systems
  • Relations between Interpretability and other Criteria (such as Accuracy, Stability, Relevance, etc.)
  • Explainable Agents
  • Self-explanatory Decision-Support Systems
  • Argumentation Theory for Explainable AI
  • Natural Language Generation for Explainable AI
  • Human-Machine Interaction for Explainable AI


Papers submitted for this special session are to be peer-reviewed with the same criteria used for the rest of contributed papers to the general track of the conference. As a result, all accepted papers will be included in the proceedings of the IEEE-WCCI 2020. If you are interested in taking part in this special session, please submit your paper directly through the IEEE-WCCI2020 submission website selecting the option "Main research topic": SS - Advances on eXplainable Artificial Intelligence.


  • Paper submission: January 15th, 2020
  • Acceptance/rejection notification: March 15th, 2020
  • Camera-ready paper submission: April 15th, 2020
  • Conference dates: July 19-24, 2020

Program Committee


  • Rafael Alcalá, University of Granada (Spain)
  • Alberto Bugarín, University of Santiago de Compostela (Spain)
  • Giovanna Castellano, University of Bari (Italy)
  • Pietro Ducange, Univesity of Pisa (Italy)
  • Albert Gatt, University of Malta (Malta)
  • Uzay Kaymak, Eindhoven University of Technology (Netherlands)
  • Yusuke Nojima, Osaka Prefecture University (Japan)
  • Edy Portmann, Human-IST Institute (Switzerland)
  • Ehud Reiter, University of Aberdeen (UK)
  • Clemente Rubio-Manzano, University of Bio-Bio (Chile)
  • Jose Manuel Soto-Hidalgo, University of Cordoba (Spain)
  • Daniel Sánchez, University of Granada (Spain)
  • Luis Terán, Human-IST Institute (Switzerland)
  • ... (to be completed)

José M. Alonso (josemaria.alonso.moral@usc.es)

Research Centre in Information Technologies (CiTIUS)

University of Santiago de Compostela (USC)

Campus Vida, E-15782, Santiago de Compostela, Spain

Ciro Castiello (ciro.castiello@uniba.it)

Department of Informatics

University of Bari “Aldo Moro”, Bari, Italy

Corrado Mencar (corrado.mencar@uniba.it)

Department of Informatics

University of Bari “Aldo Moro”, Bari, Italy

Luis Magdalena (luis.magdalena@upm.es)

Department of Applied Mathematics, School of Informatics

Universidad Politécnica de Madrid (UPM), Spain