Representation of Demographics in Otolaryngology by Artificial Intelligence Text-to-Image Platforms.

Journal: Laryngoscope investigative otolaryngology
Published Date: Jun 1, 2025

Abstract

OBJECTIVE: Artificial intelligence (AI) text-to-image generators have a propensity to reflect stereotypes. This study investigates the perception of race and gender of AI-generated portraits of otolaryngologists, evaluating their accuracy against workforce demographics and whether they amplify existing social biases.

Authors

  • Ariana L Shaari
    Rutgers New Jersey Medical School, Newark, New Jersey, USA.
  • Anthony M Saad
    Department of Otolaryngology-Head and Neck Surgery Rutgers New Jersey Medical School Newark New Jersey USA.
  • Aman M Patel
    Rutgers New Jersey Medical School, Newark, NJ, USA.
  • Andrey Filimonov
    Department of Otolaryngology-Head and Neck Surgery Rutgers New Jersey Medical School Newark New Jersey USA.

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