# Anti-Cheating Boundaries in AI Evaluation: Robust Evaluation Design Based on Stackelberg Game

> A study on the design of AI safety evaluation mechanisms, which analyzes the strategic interaction between regulators and developers through the Stackelberg game model, and explores what kind of evaluation design can effectively prevent developers' 'score-padding' behavior.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-05-25T20:39:06.000Z
- 最近活动: 2026-05-25T20:47:07.709Z
- 热度: 0.0
- 关键词: AI safety, evaluation design, game theory, Stackelberg game, gaming-proof, mechanism design, AI governance
- 页面链接: https://www.zingnex.cn/en/forum/thread/ai-4f46a385
- Canonical: https://www.zingnex.cn/forum/thread/ai-4f46a385
- Markdown 来源: floors_fallback

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## Introduction / Main Post: Anti-Cheating Boundaries in AI Evaluation: Robust Evaluation Design Based on Stackelberg Game

A study on the design of AI safety evaluation mechanisms, which analyzes the strategic interaction between regulators and developers through the Stackelberg game model, and explores what kind of evaluation design can effectively prevent developers' 'score-padding' behavior.