What question did this study set out to answer?

The research aims to identify gender bias in ChatGPT-generated letters of recommendation for orthopaedic residency programs.

March 25, 20260 citationsOpen Access

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Does ChatGPT Show Gender Bias When Drafting Letters of Recommendation for Applicants to Orthopaedic Surgery Residency Programs?

EMEric MaoJohns Hopkins University EGEve R. GlennJohns Hopkins University DLDawn M. LaPorteJohns Hopkins University

Key Points

The research aims to identify gender bias in ChatGPT-generated letters of recommendation for orthopaedic residency programs.
Analyzed language used in ChatGPT-generated letters of recommendation
Investigated systematic linguistic differences based on gender
Assessed the need for structured review and training
Identified nuanced gender-based linguistic differences in drafted letters
Highlighted the importance of bias-aware training for orthopaedic letter writers
Emphasized the use of standardized templates to reduce biases

Abstract

ChatGPT-assisted drafting of LoRs includes nuanced and systematic gender-based linguistic differences. For orthopaedic letter writers, the use of LLMs must be accompanied by structured review, bias-aware training, and standardized templates to avoid inadvertently perpetuating inequities.

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Does ChatGPT Show Gender Bias When Drafting Letters of Recommendation for Applicants to Orthopaedic Surgery Residency Programs?

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Abstract

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