1. Arrieta, A.B., et al.: Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fus. 58, 82–115 (2020)
2. Arya, V., et al.: One explanation does not fit all: a toolkit and taxonomy of AI explainability techniques. arXiv preprint arXiv:1909.03012 (2019)
3. Biran, O., Cotton, C.: Explanation and justification in machine learning: a survey. In: IJCAI 2017 Workshop on Explainable AI (XAI), vol. 8, p. 1 (2017)
4. Chari, S., Gruen, D.M., Seneviratne, O., McGuinness, D.L.: Directions for explainable knowledge-enabled systems. In: Tiddi, I., Lecue, F., Hitzler, P. (eds.) Knowledge Graphs for Explainable AI - Foundations, Applications and Challenges. Studies on the Semantic Web. IOS Press (2020, to appear)
5. Chari, S., Gruen, D.M., Seneviratne, O., McGuinness, D.L.: Foundations of Explainable Knowledge-Enabled Systems. In: Tiddi, I., Lecue, F., Hitzler, P. (eds.) Knowledge Graphs for Explainable AI - Foundations, Applications and Challenges. Studies on the Semantic Web. IOS Press (2020, to appear)