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Artificial Societies Benchmark: A Validation Framework for Synthetic Research

arXiv · AI, language, vision and robotics · article · Sep 24, 2026 · UTC

A synthetic survey can reproduce the average answer while misrepresenting how people differ, how their answers relate to one another, or how they respond to changes in conditions. We introduce the Artificial Societies Benchmark to help researchers assess whether synthetic populations support their intended analyses. The framework combines eleven tests across internal, construct, and external validity, drawing on twenty human sources and comparing nine language models. It connects each research use to the evidence it requires and tests how results change with the information we supply about res

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Evidence & attribution

First collected: 2026-09-25T06:12:46.948Z. This is not the publication date.