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Evaluating anti-LGBTQIA+ medical bias in large language models

2024-08-23

Abstract excerpt

Large Language Models (LLMs) are increasingly deployed in clinical settings for tasks ranging from patient communication to decision support. While these models demonstrate race-based and binary gender biases, anti-LGBTQIA+ bias remains understudied despite documented healthcare disparities affecting these populations. In this work, we evaluated the potential of LLMs to propagate anti-LGBTQIA+ medical bias and mis...

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Identifiers and source

Literature Corpus work
82c3b871-c969-5c02-8768-1484cba26827
DOI
10.1101/2024.08.22.24312464
Open publication

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Evaluating anti-LGBTQIA+ medical bias in large language modelsDOI 10.1101/2024.08.22.24312464
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