Author

Abigail Z. Jacobs

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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

Open access Jul 2026

Unsafe at any AUC: Unlearned Lessons From Sociotechnical Disasters for Responsible AI

Several areas where the development and use of AI can benefit from learning unlearned lessons are outlined: improved risk perception, communication, and analysis at the organizational level; traceability of requirements and responsibilities; and holistic approaches to responsibility and safety that include social and o...

Joshua A. Kroll, A. Smart, R. Geiger et al. · Harvard data science review · 0 citations