Evaluating Anti-LGBTQIA+ Medical Bias in Large Language Models

    September 2025 in “ PLOS Digital Health ”
    Crystal Chang, Neha Srivathsa, Charbel Bou-Khalil … Roxana Daneshjou
    Studysummary This study found that all four evaluated large language models generated a significant proportion of inappropriate responses when prompted with or without LGBTQIA+ identity terms, with more severe bias observed in prompts mentioning LGBTQIA+ identities.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
    Read the full study on journals.plos.org →
    Discuss this study in the Community →

    Research cited in this study 2

    1. Androgenetic Alopecia in Transgender and Gender Diverse Populations: A Review of Therapeutics Journal of The American Academy of Dermatology · 2021
    2. Endocrine Treatment of Gender-Dysphoric/Gender-Incongruent Persons: An Endocrine Society Clinical Practice Guideline The Journal of Clinical Endocrinology & Metabolism · 2017