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

• Published in: Data mining and knowledge discovery Vol. 38; no. 5; pp. 3043 - 3101
• Main Authors: Schwalbe, Gesina, Finzel, Bettina
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2024; Springer Nature B.V
• Subjects: Artificial Intelligence; Chemistry and Earth Sciences; Computer Science; Context; Data Mining and Knowledge Discovery; Explainable artificial intelligence; Information Storage and Retrieval; Physics; Special Issue on Explainable and Interpretable Machine Learning and Data Mining; Statistics for Engineering; Taxonomy; Explainable artificial intelligence; Survey-of-surveys; Review; Interpretability; Taxonomy; Meta-analysis

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 prac...