1. Fernández-López, M., Gómez-Pérez, A., Juristo, N.: Methontology: from ontological art towards ontological engineering (1997)
2. Gilpin, L.H., Bau, D., Yuan, B.Z., Bajwa, A., Specter, M., Kagal, L.: Explaining explanations: an overview of interpretability of machine learning. In: 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), pp. 80–89. IEEE (2018)
3. González-Santamarta, M.A., Fernández-Becerra, L., Sobrín-Hidalgo, D., Guerrero-Higueras, Á.M., González, I., Lera, F.J.R.: Using large language models for interpreting autonomous robots behaviors (2023). https://arxiv.org/abs/2304.14844
4. Gunning, D., Aha, D.: Darpa’s explainable artificial intelligence (XAI) program. AI Mag. 40(2), 44–58 (2019)
5. Gunning, D., Vorm, E., Wang, J.Y., Turek, M.: Darpa’s explainable AI (XAI) program: a retrospective. Appl. AI Lett. 2(4), e61 (2021). https://doi.org/10.1002/ail2.61