Evaluating diversity and stereotypes amongst AI generated representations of healthcare providers
This study is the first of its kind to provide a ML-based framework for quantifying diversity and biases amongst generated AI images of healthcare providers. These insights can guide policy decisions involving the use of Generative AI in healthcare workforce training and recruitment.
Authors
- Gauri Shanker Gupta (ORCID: https://orcid.org/0000-0003-1573-1853)
- Anjali Agrawal (ORCID: https://orcid.org/0000-0002-6725-7500)
- Himanshu Gupta (ORCID: https://orcid.org/0000-0003-4799-5693)
- Anushri Agrawal
Institutions
- Morristown High School (US)
- Valley Health System (US)
- Ridgewood Public Schools (US)
- The University of Texas at Austin (US)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-04-25
- DOI
- https://doi.org/10.3389/fdgth.2025.1537907
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.93