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Explore a meta-game framework for evaluating artificial intelligence systems in this 12-minute conference talk delivered at the 2025 Cooperative AI Summer Retreat. Learn from Michael P. Wellman, Lynn A. Conway Collegiate Professor of Computer Science and Engineering at the University of Michigan, as he presents innovative approaches to AI evaluation through game-theoretic perspectives. Discover how meta-game structures can provide robust methodologies for assessing AI performance and behavior across different strategic contexts. Gain insights from Wellman's extensive research background in computational market mechanisms, game-theoretic reasoning methods, and their applications in electronic commerce, finance, and cyber-security. Understand the theoretical foundations and practical implications of using meta-games as evaluation tools for AI systems, drawing from decades of expertise in qualitative probabilistic reasoning, decision-theoretic planning, and strategic interactions in computational environments.
