EscalAtion: Assessing Multi-Agent Risks in Military Contexts
Gabriel Mukobi, Anka Reuel, Juan-Pablo Rivera, Chandler Smith
Submitted to Multi-Agent Security Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
Our project investigates the potential risks and implications of integrating multiple autonomous AI agents within national defense strategies, exploring whether these agents tend to escalate or deescalate conflict situations. Through a simulation that models real-world international relations scenarios, our preliminary results indicate that AI models exhibit a tendency to escalate conflicts, posing a significant threat to maintaining peace and preventing uncontrollable military confrontations. The experiment and subsequent evaluations are designed to reflect established international relations theories and frameworks, aiming to understand the implications of autonomous decision-making in military contexts comprehensively and unbiasedly.
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@misc{mukobi2025escalation,
title = {{EscalAtion: Assessing Multi-Agent Risks in Military Contexts}},
author = {Gabriel Mukobi and Anka Reuel and Juan-Pablo Rivera and Chandler Smith},
year = {2025},
month = may,
note = {Submitted to Multi-Agent Security Research Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/escalation}},
url = {https://apartresearch.com/sprints/projects/escalation}
}Browse all projects