MAD Chairs: A new tool to evaluate AI

Chris Santos-Lang and Christopher M. Homan

Papers from arXiv.org

Abstract: This paper presents a new contribution to the problem of AI evaluation. Much as one might evaluate a machine in terms of its performance at chess, this approach involves evaluating a machine in terms of its performance at a game called "MAD Chairs." At the time of writing, evaluation with this game exposed opportunities to improve Claude, Gemini, ChatGPT, Qwen and DeepSeek. Furthermore, this paper sets a stage for future innovation in game theory and AI safety by providing an example of success with non-standard approaches to each: studying a game beyond the scope of previous game theoretic tools and mitigating a serious AI safety risk in a way that requires neither determination of values nor their enforcement.

Date: 2025-03, Revised 2025-03
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