This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
ApartSprints
Multi-agent
Accepted at the 
 research sprint on 
Accepted at the 
Multi-agent
 research sprint on 
October 2, 2023

EscalAtion: Assessing Multi-Agent Risks in Military Contexts

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.

By 
Gabriel Mukobi*, Anka Reuel*, Juan-Pablo Rivera*, Chandler Smith*
🏆 
4th place
3rd place
2nd place
1st place
 by peer review