Special session Explainable Artificial Intelligence for Industry 4.0

Special session in IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019).

Session Organizers:

José Maria Alonso, Research Centre in Information Technologies (CiTIUS), University of Santiago de Compostela, Spain, josemaria.alonso.moral@usc.es
Ciro Castiello, Department of Informatics, University of Bari “Aldo Moro”, Bari, Italy, ciro.castiello@uniba.it
Corrado Mencar, Department of Informatics, University of Bari “Aldo Moro”, Bari, Italy, corrado.mencar@uniba.it

Session area: Cybernetics

Session description This special session deals with the problem of extracting valuable knowledge from the given data, a problem that is especially felt by data scientists involved in IoT and Big Data projects. The focus of the SS is on knowledge representation and enhancement of human-machine interaction. As remarked by 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 require a new generation of explainable AI systems that are expected to naturally interact with them, by 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. The goal is to discuss and disseminate the most recent advancements focused on explainable AI in the scenario of Industry 4.0. This is strongly characterized by tight collaborations of humans and smart factories in highly complex processes, thus requiring mutual intelligibility and exchange of meaningful information and knowledge. The session goes a step ahead with respect to the previous events we organized, including the latest FUZZ’IEEE 2019 (https://sites.google.com/view/xai-fuzzieee2019)

Keywords

• Expert and Knowledge-Based Systems
• Knowledge Acquisition in Intelligent Machine Learning
• Fuzzy Systems and their applications