Author

A. Cooper

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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

Jul 2026

Underwriting the Agent Economy: The Blueprint for an AI Insurance Stack

This report argues that affirmative AI coverage with limits in the billions is achievable by 2030, but only with industry-wide coordination, and lays out an eight-component AI insurance stack spanning incident data collection, catastrophe modeling, standards, contract design, risk selection, pricing, monitoring, and cl...

Cristian Trout, Sanmi Koyejo, S. Romanosky et al. · arXiv.org · 0 citations