LLMs produce racist output when prompted in African American English

Su Lin Blodgett; Zeerak Talat

doi:10.1038/d41586-024-02527-x

LLMs produce racist output when prompted in African American English

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Large language models (LLMs) are becoming less overtly racist, but respond negatively to text in African American English. Such ‘covert’ racism could harm speakers of this dialect when LLMs are used for decision-making.

Original language	English
Pages (from-to)	40-41
Number of pages	2
Journal	Nature
Volume	633
DOIs	https://doi.org/10.1038/d41586-024-02527-x
Publication status	Published - 28 Aug 2024

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language
machine learning
society

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10.1038/d41586-024-02527-x

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title = "LLMs produce racist output when prompted in African American English",

abstract = "Large language models (LLMs) are becoming less overtly racist, but respond negatively to text in African American English. Such {\textquoteleft}covert{\textquoteright} racism could harm speakers of this dialect when LLMs are used for decision-making.",

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N2 - Large language models (LLMs) are becoming less overtly racist, but respond negatively to text in African American English. Such ‘covert’ racism could harm speakers of this dialect when LLMs are used for decision-making.

AB - Large language models (LLMs) are becoming less overtly racist, but respond negatively to text in African American English. Such ‘covert’ racism could harm speakers of this dialect when LLMs are used for decision-making.

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LLMs produce racist output when prompted in African American English

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