Can Artificial Intelligence Deceive Residency Committees? A Randomized Multicenter Analysis of Letters of Recommendation.

Journal: The Journal of the American Academy of Orthopaedic Surgeons
PMID: 39693540

Abstract

INTRODUCTION: The introduction of generative artificial intelligence (AI) may have a profound effect on residency applications. In this study, we explore the abilities of AI-generated letters of recommendation (LORs) by evaluating the accuracy of orthopaedic surgery residency selection committee members to identify LORs written by human or AI authors.

Authors

  • Samuel K Simister
    From the University of California, Davis, Sacramento, CA (Simister, Le, Meehan, Leshikar, Saiz, and Lum), the San Joaquin General Hospital, French Camp, CA (Huish), the Cedars Sinai, Los Angeles, CA (Tsai), and the Yale University, New Haven, CT (Halim and Tuason).
  • Eric G Huish
  • Eugene Y Tsai
  • Hai V Le
  • Andrea Halim
  • Dominick Tuason
  • John P Meehan
  • Holly B Leshikar
  • Augustine M Saiz
  • Zachary C Lum
    Nova Southeastern University, Davie, FL, USA.

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