arXiv: cs.AI preprintsInternational6 November 2026
Who Can Evaluate AI Independently? A Framework for Analysing Evaluation Infrastructure
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arXiv:2611.08134v1 Announce Type: cross Abstract: AI evaluation is increasingly central to AI safety and governance, yet taking part in an evaluation does not by itself confer authority over its design, its execution or the resources it depends on. This paper examines how infrastructure arrangements distribute that authority, and so shape who can evaluate AI systems independently. Drawing on Science and Technology Studies, political economy and applied evaluation standards, we introduce PAAI (Power, Access, Adequacy, Independence), a framework for examining who controls evaluation infrastructu
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