The Audit Decides the Verdict: Instrument Effects Rival Demographic Bias in LLM Decision Audits
Paper recorded by Signals 4 on 2026-09-08 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-08 on arXiv · recorded by Signals 4 on 2026-09-09
Category: cs.AI · 人工智能 · first seen 2026-09-09
Abstract
Whether a language model looks demographically biased can depend on how the audit asks its question. A charitable-aid benchmark reports that the same models favor minority applicants when rating requests one at a time and penalize some when ranking side by side. We test whether that reversal generalizes to hiring, lending, and medical triage: 40,726 requests to five models, applications differing
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Cite this page: The Audit Decides the Verdict: Instrument Effects Rival Demographic Bias in LLM Decision Audits: the #160 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-audit-decides-the-verdict-instrument-effects-rival-demographic-bias-in-llm-d.html
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