This paper is in the following e-collection/theme issue:

Chatbots and Conversational Agents (531) Generative Language Models Including ChatGPT (311) Professional Identity Development (18) Artificial Intelligence (1371) Natural Language Processing (692) Validity, Reliability, and Bias (93)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51837, first published .
What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT

What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT

What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT

Authors of this article:

Deanna M Kaplan1 Author Orcid Image ;   Roman Palitsky2 Author Orcid Image ;   Santiago J Arconada Alvarez3 Author Orcid Image ;   Nicole S Pozzo1 Author Orcid Image ;   Morgan N Greenleaf3 Author Orcid Image ;   Ciara A Atkinson4 Author Orcid Image ;   Wilbur A Lam5 Author Orcid Image
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