• Special Session on Advances on eXplainable Artificial Intelligence @ FU

    From Corrado Mencar@21:1/5 to All on Tue Nov 6 02:29:45 2018
    * apologies for cross-postings *


    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 (XAI in short) systems. They are expected to naturally interact with humans, thus providing comprehensible explanations of
    decisions automatically made. This is also aligned with the European vision for AI (CLAIRE) which remarks the need of building trustworthy AI that is beneficial to people through fairness, transparency and explainability. Thus, the goal of this special
    session is to discuss and disseminate the most recent advancements focused on explainable artificial intelligence.

    The aim of this session is 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 FL:
    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.

    Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the rest of contributed papers. As a result, all accepted papers will be included in the proceedings of the FUZZ-IEEE 2019. If you are interested in taking part
    in this special session, please submit your paper directly through the FUZZ-IEEE web site selecting the option "Main research topic": SS - Advances on eXplainable Artificial Intelligence.

    The session will end with an Open Discussion (20 min) where the chair will lead wider discussion around XAI in the context of the papers presented and their alignment with the mid-term strategic goals of the DARPA XAI program as well as the CLAIRE
    initiative on AI. The aim is to offer an opportunity for researchers and practitioners to identify new promising research directions in this area.

    The topics of interest include (but are not limited to):
    - Explainable Computational Intelligence
    - Theoretical Aspects of Interpretability
    - Dimensions of Interpretability: Readability versus Understandability
    - Learning Methods for Interpretable Systems and Models
    - Interpretability Evaluation and Improvements
    - Relations between Interpretability and other Criteria (such as Accuracy, Stability, Relevance, etc.)
    - Design Issues
    - Successful Applications of Interpretable AI Systems
    - Interpretable Fuzzy Systems
    - Interpretable Machine Learning
    - Models for Explainable Recommendations
    - Explainable Agents
    - Self-explanatory Decision-Support Systems
    - Argumentation Theory for Explainable AI
    - Natural Language Generation for Explainable AI
    - Interpretable Human-Machine Interaction

    - Paper submission: January 11th, 2019
    - Acceptance/rejection notification: March 4th, 2019
    - Camera-ready paper submission: April 1st, 2019
    - Conference dates: June 23-26, 2019

    Program Committee
    - Jose M. Alonso, University of Santiago de Compostela (Spain)
    - Ciro Castiello, University of Bari (Italy)
    - Uzay Kaymak, Eindhoven Univ. of Technology (Netherlands)
    - Luis Magdalena, Technical University of Madrid (Spain)
    - Corrado Mencar, University of Bari (Italy)
    - Yusuke Nojima, Osaka Prefecture University (Japan)
    - Edy Portmann, Human-IST Institute (Switzerland)
    - Clemente Rubio-Manzano, Univ. of Bio-Bio (Chile)
    - Jose Manuel Soto-Hidalgo, University of Cordoba (Spain)
    - Daniel Sánchez, University of Granada (Spain)

    - José M. Alonso (josemaria.alonso.moral@usc.es), Research Centre in Information Technologies (CiTIUS), University of Santiago de Compostela, https://citius.usc.es/v/jose-maria-alonso-moral
    - 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

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