International AI Coordination Game

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  "title": "International AI Coordination Game",
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  "llmSummary": "Game-theoretic analysis demonstrating that US-China AI coordination defaults to mutual defection (racing) because defection dominates when cooperation probability falls below 50%, with current estimates at 60-70% likelihood of continued deterioration through 2030. Key intervention leverage points identified: Track 2 diplomacy (\\$10-20M annually), verification technology development (\\$50-200M over 5 years), and middle power coordination through EU regulatory frameworks.",
  "description": "Game-theoretic analysis of US-China AI coordination showing mutual defection (racing) as the stable Nash equilibrium despite Pareto-optimal cooperation being possible, with formal payoff matrices demonstrating why defection dominates when cooperation probability is below 50%. The model identifies information asymmetry, multidimensional coordination challenges, and time dynamics as key barriers to stable international AI safety agreements.",
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