Fuzzy Sets: A Key Towards Hybrid Explainable Artificial Intelligence for Image Understanding

In this talk, we will discuss the role of fuzzy sets theory in the context of explainable artificial intelligence. We advocate that combining several frameworks in artificial intelligence, including fuzzy sets theory, adopting a hybrid point of view both for knowledge and data representation and for reasoning, offers opportunities towards explainability. This idea is instantiated on the example of image understanding, expressed as a spatial reasoning problem.