Implicit Gender, Racial, and Ethnic Biases in Large Language Models: An Audit Study of Automated Psychiatric Diagnoses.
- DOI
- 10.1016/j.mcpdig.2026.100344
- Published
- 2026 Jun
- Container
- Mayo Clinic proceedings. Digital health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.mcpdig.2026.100344,
title = {Implicit Gender, Racial, and Ethnic Biases in Large Language Models: An Audit Study of Automated Psychiatric Diagnoses.},
author = {Pendse SR and Jain M and Kumar N and De Choudhury M},
year = {2026},
journal = {Mayo Clinic proceedings. Digital health},
doi = {10.1016/j.mcpdig.2026.100344},
url = {https://doi.org/10.1016/j.mcpdig.2026.100344}
}RIS
TY - JOUR TI - Implicit Gender, Racial, and Ethnic Biases in Large Language Models: An Audit Study of Automated Psychiatric Diagnoses. AU - Pendse SR AU - Jain M AU - Kumar N AU - De Choudhury M PY - 2026 JO - Mayo Clinic proceedings. Digital health DO - 10.1016/j.mcpdig.2026.100344 UR - https://doi.org/10.1016/j.mcpdig.2026.100344 ER -
APA
SR, P., M, J., N, K., & M, D. C. (2026). Implicit Gender, Racial, and Ethnic Biases in Large Language Models: An Audit Study of Automated Psychiatric Diagnoses.. Mayo Clinic proceedings. Digital health. https://doi.org/10.1016/j.mcpdig.2026.100344
Source records
- pubmed · retrieved 2026-09-25T11:45:12.259Z