Explore a comprehensive review of taxonomies in Explainable Artificial Intelligence (XAI) methods in this 15-minute conference talk presented by Timo Speith at the Association for Computing Machinery (ACM). Gain insights into the various classification systems used to categorize and understand XAI techniques, their applications, and their importance in making AI systems more transparent and interpretable. Delve into the different approaches researchers have taken to organize and structure the rapidly evolving field of XAI, and learn how these taxonomies contribute to the advancement of responsible and accountable AI development.