Dictionary · Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

Post-hoc explainability targets models that are not readily inter- pretable by design by resorting to diverse means to enhance their in- terpretability, such as text explanations, visual explanations, local expla- nations, explanations by example, explanations by simplification and feature relevance explanations techniques. Each of these techniques covers one of the most common ways humans explain systems and processes by themselves.