Digital Ink and Surgical Dreams: Perceptions of Artificial Intelligence-Generated Essays in Residency Applications.

Journal: The Journal of surgical research
PMID: 39042979

Abstract

INTRODUCTION: Large language models like Chat Generative Pre-Trained Transformer (ChatGPT) are increasingly used in academic writing. Faculty may consider use of artificial intelligence (AI)-generated responses a form of cheating. We sought to determine whether general surgery residency faculty could detect AI versus human-written responses to a text prompt; hypothesizing that faculty would not be able to reliably differentiate AI versus human-written responses.

Authors

  • Loralai M Crawford
    Department of Biomedical Engineering, University of Rochester, Rochester, New York.
  • Peter Hendzlik
    School of Medicine and Dentistry, University of Rochester, Rochester, New York.
  • Justine Lam
    Department of Biomedical Engineering, University of Rochester, Rochester, New York.
  • Lisa M Cannon
    Department of Surgery, University of Rochester Medical Center, Rochester, New York.
  • Yanjie Qi
    Department of Surgery, University of Rochester Medical Center, Rochester, New York.
  • Lauren DeCaporale-Ryan
    Department of Surgery, University of Rochester Medical Center, Rochester, New York; Department of Psychiatry, University of Rochester Medical Center, Rochester, New York.
  • Nicole A Wilson
    Assistant Professor of Surgery, Pediatrics, and Biomedical Engineering, Division of Pediatric Surgery, University of Rochester, Rochester, NY.

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