Comparing Generative Artificial Intelligence and Mental Health Professionals for Clinical Decision-Making With Trauma-Exposed Populations: Vignette-Based Experimental Study
GAI models demonstrate some evidence of trauma-related diagnostic overshadowing bias, yet the degree of bias varied by task and model. Moreover, GAI models generally demonstrated less bias than MHPs in this experimental paradigm. These findings highlight the importance of understanding GAI biases in mental health care. More research into bias reduction strategies and responsible implementation of GAI models in mental health care is needed.
Authors
- Sabahat Sami
- Katherine Wislocki (ORCID: https://orcid.org/0000-0003-0821-1622)
- Alyson K. Zalta (ORCID: https://orcid.org/0000-0002-5159-8431)
- Gahl Liberzon
Institutions
- University of California, Irvine (US)
- Irvine University (US)
Publication Details
- Journal
- JMIR Mental Health
- Published
- 2025-09-10
- DOI
- https://doi.org/10.2196/80801
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96