Cooperative AI

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  "title": "Cooperative AI",
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  "dateCreated": "2026-02-15",
  "summary": "Cooperative AI research addresses multi-agent coordination failures through game theory and mechanism design, with ~\\$1-20M/year investment primarily at DeepMind and academic groups. The field remains largely theoretical with limited production deployment, facing fundamental challenges in defining cooperation in high-stakes scenarios and preventing defection under pressure.",
  "description": "Cooperative AI research investigates how AI systems can cooperate effectively with humans and other AI systems.",
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      "text": "Hadfield-Menell et al. (2016)",
      "url": "https://arxiv.org/abs/1606.03137",
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      "text": "Cooperative Inverse Reinforcement Learning",
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      "text": "Multi-Agent Risks from Advanced AI",
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      "text": "Cooperative AI Foundation",
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  "eaForum": "https://forum.effectivealtruism.org/topics/cooperative-ai-1"
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