1. Abdul, A., Vermeulen, J., Wang, D., Lim, B.Y., Kankanhalli, M.: Trends and trajectories for explainable, accountable and intelligible systems. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI 2018. ACM Press (2018)
2. Adadi, A., Berrada, M.: Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE Access 6, 52138–52160 (2018).
https://doi.org/10.1109/access.2018.2870052
3. Andreas, J., Klein, D., Levine, S.: Modular multitask reinforcement learning with policy sketches. In: Proceedings of the 34th International Conference on Machine Learning, ICML 2017, vol. 70, pp. 166–175. JMLR.org (2017)
4. Arya, V., et al.: One explanation does not fit all: a toolkit and taxonomy of AI explainability techniques (2019).
arXiv:1909.03012
5. Bevana, N., Kirakowskib, J., Maissela, J.: What is usability. In: Proceedings of the 4th International Conference on HCI. Citeseer (1991)