Artificial intelligence-created personal statements compared with applicant-written personal statements: a survey of obstetric anesthesia fellowship program directors in the United States
{"title":"Artificial intelligence-created personal statements compared with applicant-written personal statements: a survey of obstetric anesthesia fellowship program directors in the United States","authors":"A.M. Ruiz , M.B. Kraus , K.W. Arendt , D.R. Schroeder , E.E. Sharpe","doi":"10.1016/j.ijoa.2024.104293","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>A personal statement is a common requirement in medical residency and fellowship applications. Generative artificial intelligence may be used to create a personal statement for these applications.</div></div><div><h3>Methods</h3><div>Two personal statements were created using OpenAI’s Chat Generative Pre-trained Transformer (ChatGPT) and two applicant-written statements were collected. A survey was sent to obstetric anesthesia fellowship program directors in the United States to assess the perceived readability, authenticity, and originality of the four personal statements. In addition, the survey assessed perceptions of applicants who use artificial intelligence to write a personal statement, including their integrity, work ethic, reliability, intelligence, and English proficiency.</div></div><div><h3>Results</h3><div>Surveyed fellowship directors could not accurately discern whether statements were applicant-written or artificial intelligence-generated. The artificial intelligence-generated personal statements were rated as more readable and original than the applicant-written statements. Most program directors were moderately or extremely concerned about the applicant’s integrity, work ethic, and reliability if they suspected the applicant utilized ChatGPT.</div></div><div><h3>Conclusions</h3><div>Program directors could not accurately discern if the statements were written by a person or artificial intelligence and would have concerns about an applicant suspected of using artificial intelligence. Medical training programs may benefit from outlining their expectations regarding applicants’ use of artificial intelligence.</div></div>","PeriodicalId":14250,"journal":{"name":"International journal of obstetric anesthesia","volume":"61 ","pages":"Article 104293"},"PeriodicalIF":2.6000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of obstetric anesthesia","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959289X24003054","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ANESTHESIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
A personal statement is a common requirement in medical residency and fellowship applications. Generative artificial intelligence may be used to create a personal statement for these applications.
Methods
Two personal statements were created using OpenAI’s Chat Generative Pre-trained Transformer (ChatGPT) and two applicant-written statements were collected. A survey was sent to obstetric anesthesia fellowship program directors in the United States to assess the perceived readability, authenticity, and originality of the four personal statements. In addition, the survey assessed perceptions of applicants who use artificial intelligence to write a personal statement, including their integrity, work ethic, reliability, intelligence, and English proficiency.
Results
Surveyed fellowship directors could not accurately discern whether statements were applicant-written or artificial intelligence-generated. The artificial intelligence-generated personal statements were rated as more readable and original than the applicant-written statements. Most program directors were moderately or extremely concerned about the applicant’s integrity, work ethic, and reliability if they suspected the applicant utilized ChatGPT.
Conclusions
Program directors could not accurately discern if the statements were written by a person or artificial intelligence and would have concerns about an applicant suspected of using artificial intelligence. Medical training programs may benefit from outlining their expectations regarding applicants’ use of artificial intelligence.
期刊介绍:
The International Journal of Obstetric Anesthesia is the only journal publishing original articles devoted exclusively to obstetric anesthesia and bringing together all three of its principal components; anesthesia care for operative delivery and the perioperative period, pain relief in labour and care of the critically ill obstetric patient.
• Original research (both clinical and laboratory), short reports and case reports will be considered.
• The journal also publishes invited review articles and debates on topical and controversial subjects in the area of obstetric anesthesia.
• Articles on related topics such as perinatal physiology and pharmacology and all subjects of importance to obstetric anaesthetists/anesthesiologists are also welcome.
The journal is peer-reviewed by international experts. Scholarship is stressed to include the focus on discovery, application of knowledge across fields, and informing the medical community. Through the peer-review process, we hope to attest to the quality of scholarships and guide the Journal to extend and transform knowledge in this important and expanding area.