Strategic Insights from Simulation Gaming of AI Race Dynamics

TL;DR

This paper analyzes insights from 43 simulation games on AI race dynamics, highlighting strategic patterns, risks, and the importance of international cooperation in AI governance.

Contribution

It provides a detailed analysis of recurring strategies and decision-making processes in AI development from a four-year simulation exercise, offering novel foresight into AI governance challenges.

Findings

AI races can destabilize global security

International cooperation mitigates catastrophic AI risks

Cybersecurity is critical in AI development

Abstract

We present insights from "Intelligence Rising", a scenario exploration exercise about possible AI futures. Drawing on the experiences of facilitators who have overseen 43 games over a four-year period, we illuminate recurring patterns, strategies, and decision-making processes observed during gameplay. Our analysis reveals key strategic considerations about AI development trajectories in this simulated environment, including: the destabilising effects of AI races, the crucial role of international cooperation in mitigating catastrophic risks, the challenges of aligning corporate and national interests, and the potential for rapid, transformative change in AI capabilities. We highlight places where we believe the game has been effective in exposing participants to the complexities and uncertainties inherent in AI governance. Key recurring gameplay themes include the emergence of international agreements, challenges to the robustness of such agreements, the critical role of cybersecurity in AI development, and the potential for unexpected crises to dramatically alter AI trajectories. By documenting these insights, we aim to provide valuable foresight for policymakers, industry leaders, and researchers navigating the complex landscape of AI development and governance.