Status Association Does Not Reliably Predict Decision Leakage
Bias evaluations often move too quickly from evidence that a model encodes a social association to claims that the same association will alter consequential decisions. We test whether that inference is warranted using Chilean surnames as controlled socioeconomic probes. We evaluate eight frozen model-provider cells on 1,032 prompts each, yielding 8,256 verified primary responses. The design separates forced latent association from matched consequential decisions across academic selection, professional hiring, research fellowship selection, and legal-aid intake. Elite-coded surnames received higher forced high-status probability mass than common surnames in seven of eight models and higher...
| Authors | Abdullah X |
|---|---|
| Primary category | stat.AP |
| Published | 10 August 2026 |
| Last updated at source | 10 August 2026 |
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