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Special Session on Advances on Explainable Artificial Intelligence

posted Oct 27, 2017, 6:57 AM by Corrado Mencar
17th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2018)
11 - 15 June 2018, Cádiz, Spain

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, non-expert users, i.e., 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. 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, and FUZZ-IEEE2017.