IEEE SMC 2019 - Industry 4.0
2019 IEEE International Conference on Systems, Man, and Cybernetics
06-09 October Bari, Italy
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 NLG 2018, IPMU 2018 and FUZZ’IEEE 2019.
Papers must be submitted electronically for peer review through PaperCept by March 31 April 14, 2019. In PaperCept, click on the SMC 2019 link “Submit a Contribution to SMC'19” and follow the steps. Session area is: Cybernetics.
All papers must be written in English and should describe original work. For guidelines, please follow the SMC website link.
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
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