Performance of Artificial Intelligence Content Detectors Using Human and Artificial Intelligence-Generated Scientific Writing.

Journal: Annals of surgical oncology
Published Date: Jun 22, 2024

Abstract

BACKGROUND: Few studies have examined the performance of artificial intelligence (AI) content detection in scientific writing. This study evaluates the performance of publicly available AI content detectors when applied to both human-written and AI-generated scientific articles.

Authors

  • Madelyn A Flitcroft
    Department of Surgery, Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Salma A Sheriff
    Department of Surgery, Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Nathan Wolfrath
    Department of Surgery, Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Ragasnehith Maddula
    Department of Surgery, Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Laura McConnell
    Department of Surgery, Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Yun Xing
    Department of Surgery, Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Krista L Haines
    Department of Surgery, Division of Trauma, Critical Care, and Acute Care Surgery, Duke University, Durham, NC, USA.
  • Sandra L Wong
    Department of Surgery, Dartmouth Hitchcock Medical Center, Lebanon, NH, USA.
  • Anai N Kothari
    Department of Surgery, Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.

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