A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts

Abstract In the meantime, a wide variety of terminologies, motivations, approaches, and evaluation criteria have been developed within the research field of explainable artificial intelligence (XAI). With the amount of XAI methods vastly growing, a taxonomy of methods is needed by researchers as well as practitioners: To grasp the breadth of the topic, compare methods, and to select the right XAI method based on traits required by a specific use-case context. Many taxonomies for XAI methods of varying level of detail and depth can be found in the literature. While they often have a different focus, they also exhibit many points of overlap. This paper unifies these efforts and provides a complete taxonomy of…

• BF
  Bundesministerium für Bildung und Forschung

  Awards: 01IS18056 B, FKZ 01IS18056 B
• BF
  Bundesministerium für Wirtschaft und Energie