1. Apruzzese, G., Colajanni, M., Ferretti, L., & Marchetti, M. (2019). Addressing adversarial attacks against security systems based on machine learning. In 2019 11th International Conference on Cyber Conflict (CyCon) (pp. 1–18). https://doi.org/10.23919/CYCON.2019.8756865
2. Bajema, N. E. (2019, November 12). Can humans resist the allure of machine speed for nuclear weapons? Retrieved from https://outrider.org/nuclear-weapons/articles/can-humans-resist-allure-machine-speed-nuclear-weapons/
3. Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., Chatila, R., & Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82–115. https://doi.org/10.1016/j.inffus.2019.12.012
4. Boulanin, V. (2019). The impact of artificial intelligence on strategic stability and nuclear risk. Retrieved from https://www.sipri.org/publications/2019/other-publications/impact-artificial-intelligence-strategic-stability-and-nuclear-risk-volume-i-euro-atlantic
5. Burgers, T., & Robinson, D. R. S. (2018). Keep dreaming: Cyber arms control is not a viable policy option. Sicherheit und Frieden, 36(3), 140–145. https://doi.org/10.5771/0175-274X-2018-3-140