Extracting Relational Explanations From Deep Neural Networks: A Survey From a Neural-Symbolic Perspective

The term "explainable AI" refers to the goal of producing artificially intelligent agents that are capable of providing explanations for their decisions. Some models (e.g., rule-based systems) are designed to be explainable, while others are less explicit "black boxes" for which their reasoning rema... View More