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May 20, 2025
EscalAtion: Assessing Multi-Agent Risks in Military Contexts
Gabriel Mukobi, Anka Reuel, Juan-Pablo Rivera, Chandler Smith
🏆 1st place by peer review
Summary
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.
Cite this work:
@misc {
title={
@misc {
},
author={
Gabriel Mukobi, Anka Reuel, Juan-Pablo Rivera, Chandler Smith
},
date={
5/20/25
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}
