In conjunction with the 23rd International Conference on Intelligent User Interfaces (IUI 2018)
March 7-11, 2018
Smart systems that apply complex reasoning to make decisions and plan behavior, such as clinical decision support systems, personalized recommendations, and machine learning classifiers, are difficult for users to understand. While research to make systems more explainable and therefore more intelligible and transparent is gaining pace, there are numerous issues and problems regarding these systems that demand further attention. The goal of this workshop is to bring researchers and industry together to address these issues, such as when and how to provide an explanation to a user. The workshop will include a keynote, poster panels, and group activities, with the goal of developing concrete approaches to handling challenges related to the design and development of explainable smart systems.
Takanori Komatsu, Meiji University, Japan
Alan Said, University of Skövde, Sweden