PNAS paper asks how consumers and regulators should use AI benchmarks
chrmanning · x · 2026-07-22
A new open-access PNAS paper, led by Neel Guha, shifts the AI-benchmark discussion away from benchmark design itself and toward the institutional context: what happens when consumers and regulators use benchmarks, and how the system should be designed around that reality.
The post highlights that the paper is part of a broader conversation that has produced thousands of AI benchmark papers, but focuses on the governance and usage side rather than yet another benchmark scorecard.
Related event: Stanford Paper Examines AI Benchmark Usage by Consumers(2 posts)→
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