AI depictions of psychiatric diagnoses: a preliminary study of generative image outputs in Midjourney V.6 and DALL-E 3.

Journal: BMJ mental health
Published Date: Dec 4, 2024

Abstract

OBJECTIVE: This paper investigates how state-of-the-art generative artificial intelligence (AI) image models represent common psychiatric diagnoses. We offer key lessons derived from these representations to inform clinicians, researchers, generative AI companies, policymakers and the public about the potential impacts of AI-generated imagery on mental health discourse.

Authors

  • Matthew Flathers
    Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
  • Griffin Smith
    Rhode Island School of Design, Providence, Rhode Island, USA.
  • Ellen Wagner
    Harvard T H Chan School of Public Health, Boston, Massachusetts, USA.
  • Carl Erik Fisher
    Columbia University, New York, New York, USA.
  • John Torous
    Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

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