The NATO Command and Control Centre of Excellence actively collaborates with academic institutions to advance research in Command and Control. One recent example is a joint study with the Turkish National Defence University and the Turkish Air Force Academy, now published by Springer Nature in the INFUS 2025 proceedings:
“Risk Assessment of Artificial Intelligence Support in Command and Control Cycle Using Spherical Fuzzy Z-Number Best-Worst Decision-Making Method”
https://doi.org/10.1007/978-3-031-97992-7_83
In this article, Major Mehmet Bozkurt, LtCol Serhat Saylam PhD, LtCol Rabia Saylam PhD, and Assoc. Prof. Fatma Kutlu Gündoğdu show how the military can better identify and prioritize risks when using AI in C2. Using an advanced decision-making method, the study reveals that “security and threats” are the biggest concerns, while issues with AI outputs are less critical.
Security is the top risk when using AI in military command and control, while issues like human oversight and output interpretation are manageable. The authors stress that these findings help guide how we can reduce risks today and open the door for future studies.
