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<p>The Stag Hunt game theory model highlights how legitimacy influences international cooperation in artificial intelligence governance. This paper explores how perceptions of fairness, inclusivity, and transparency affect the strategic decisions of major AI powers such as the USA, China and smaller nations. Through Q-learning simulations that model dynamic cooperation under different levels of existential risk, the study shows that increased threats from unregulated AI development enhance the likelihood of international collaboration. However, this outcome critically depends on the perceived legitimacy of governance frameworks. When governance structures are viewed as legitimate safeguards of collective interests instead of tools for power projection, nations are more inclined to maintain cooperative equilibria, despite short-term incentives to defect. The findings indicate that fostering legitimate global AI governance necessitates an ongoing focus on inclusive decision-making processes, equitable capacity-building initiatives, and adaptive governance mechanisms that can evolve while preserving trust among diverse stakeholders.</p>

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Stag Hunt in the Digital Wilds: Legitimizing Global AI Governance Amidst Diverse Terrains

  • 期刊论文

  • 发表日期：

    2025年2月15日

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  • Dwayne Woods

摘要

The Stag Hunt game theory model highlights how legitimacy influences international cooperation in artificial intelligence governance. This paper explores how perceptions of fairness, inclusivity, and transparency affect the strategic decisions of major AI powers such as the USA, China and smaller nations. Through Q-learning simulations that model dynamic cooperation under different levels of existential risk, the study shows that increased threats from unregulated AI development enhance the likelihood of international collaboration. However, this outcome critically depends on the perceived legitimacy of governance frameworks. When governance structures are viewed as legitimate safeguards of collective interests instead of tools for power projection, nations are more inclined to maintain cooperative equilibria, despite short-term incentives to defect. The findings indicate that fostering legitimate global AI governance necessitates an ongoing focus on inclusive decision-making processes, equitable capacity-building initiatives, and adaptive governance mechanisms that can evolve while preserving trust among diverse stakeholders.