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J. Garcia-Gathright

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Preprint Sep 2026

What AI Benchmarks Actually Measure: Adapting Convergent and Discriminant Validity to Interrogate Fifty-Six AI Benchmarks

This work adapt convergent and discriminant validity from the social sciences into an approach for interrogating AI benchmarks, applying it to 56 capability and safety benchmarks across 53 models and asking analogous questions at the item level using item response theory (IRT) models.

Meera Desai, Sang T. Truong, Hanna Wallach et al. · 0 citations

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