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Article

Race, Ethnicity and Their Implication on Bias in Large Language Models

2026-01-05

Abstract excerpt

Large language models (LLMs) increasingly operate in high-stakes settings including healthcare and medicine, where demographic attributes such as race and ethnicity may be explicitly stated or implicitly inferred from text. However, existing studies primarily document outcome-level disparities, offering limited insight into internal mechanisms underlying these effects. We present a mechanistic study of how race an...

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Literature Corpus work
c2fe3fa2-b534-58c3-a578-b7c3faae166c
DOI
10.64898/2026.01.04.26343415
Open publication

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Race, Ethnicity and Their Implication on Bias in Large Language ModelsDOI 10.64898/2026.01.04.26343415
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