XAI@FUZZ'IEEE 2019: Advances on eXplainable Artificial Intelligence JW Marriott New Orleans, LA, United States, June 23-26, 2019 |
Conference website | http://tiny.cc/xai-fuzzieee2018 |
Poster | download |
Submission deadline | January 11, 2019 |
CORE rating | A- |
Aims and scope
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. 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 session goes a step ahead with respect to the previous events we organized (which were mainly focused on interpretable fuzzy systems) in some other conferences: joint IFSA-EUSFLAT 2009, ISDA 2009, WCCI 2010, WILF 2011, ESTYLF 2012, WCCI 2012, EUSFLAT 2013, IFSA-EUSFLAT2015, FUZZ-IEEE2017, and IPMU2018.
The aim of this session is to provide a forum to disseminate and discuss eXplainable Artificial Intelligence, with special attention to Interpretable Fuzzy Systems. We want to offer an opportunity for researchers and practitioners to identify new promising research directions in this area.
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.
Topics
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
Program Committee
• Rafael Alcalá, University of Granada (Spain)
• Jose M. Alonso, University of Santiago de Compostela (Spain)
• Ciro Castiello, University of Bari (Italy)
• Uzay Kaymak, Eindhoven University of Technology (The Netherlands)
• Janusz Kacprzyk, Polish Academy of Sciences (Poland)
• 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)
• Jose Manuel Soto-Hidalgo, University of Cordoba (Spain)
• Daniel Sánchez, University of Granada (Spain)
Organizers
José M. Alonso (josemaria.alonso.moral@usc.es)
Research Centre in Information Technologies (CiTIUS)
University of Santiago de Compostela
Campus Vida, E-15782, Santiago de Compostela, Spain
Website: 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