Residency Application Selection Committee Discriminatory Ability in Identifying Artificial Intelligence-Generated Personal Statements.

Journal: Journal of surgical education
PMID: 38679494

Abstract

OBJECTIVE: Advances in artificial intelligence (AI) have given rise to sophisticated algorithms capable of generating human-like text. The goal of this study was to evaluate the ability of human reviewers to reliably differentiate personal statements (PS) written by human authors from those generated by AI software.

Authors

  • Issam Koleilat
    Department of Surgery, Community Medical Center, RWJ/Barnabas Health, Tom's River, New Jersey. Electronic address: ikoleilat@gmail.com.
  • Advaith Bongu
    Department of Surgery, Robert Wood Johnson Medical School, New Brunswick, New Jersey.
  • Sumy Chang
    Department of Surgery, Community Medical Center, RWJ/Barnabas Health, Tom's River, New Jersey.
  • Dylan Nieman
    Department of Surgery, Robert Wood Johnson Medical School, New Brunswick, New Jersey.
  • Steven Priolo
    Department of Surgery, Community Medical Center, RWJ/Barnabas Health, Tom's River, New Jersey.
  • Nell Maloney Patel
    Department of Surgery, Robert Wood Johnson Medical School, New Brunswick, New Jersey.

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