Demographic inaccuracies and biases in the depiction of patients by artificial intelligence text-to-image generators

Demographic inaccuracies and biases in the depiction of patients by artificial intelligence text-to-image generators

The wide usage of artificial intelligence (AI) text-to-image generators raises concerns about the role of AI in amplifying misconceptions in healthcare. This study therefore evaluated the demographic accuracy and potential biases in the depiction of patients by four commonly used text-to-image generators. A total of 9060 images of patients with 29 different diseases was generated using Adobe Firefly, Bing Image Generator, Meta Imagine, and Midjo…