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Demographic representation of generative AI images of physicians

JAMA Network Open

2024-08-06
(Press-News.org)

About The Study: This study identifies demographic biases in artificial intelligence (AI)-generated images of physicians with disproportionate representation of white and male physicians and concerning underrepresentation of other races and ethnicities (Asian and Latino) and female physicians in some platforms. This bias has the potential to reinforce stereotypes and undermine diversity, equity, and inclusion initiatives within health care. 

Corresponding Author: To contact the corresponding author, Sang Won Lee, MSc, email sangwon_lee@hms.harvard.edu.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2024.25993)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time http://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2024.25993?utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_term=080624

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[Press-News.org] Demographic representation of generative AI images of physicians
JAMA Network Open