在紧急医疗应用中对人工智能生成和人类写的个人陈述进行比较分析
Elizabeth Steele1, Anthony Steratore1, Brian Z Dilcher1
1Emergency Medicine, West Virginia University School of Medicine, Morgantown, USA.
Cureus
|July 30, 2025
概括
人工智能 (AI) 产生的个人陈述 (PSs) 与申请人撰写的个人陈述 (PSs) 无法区分,这引发了关于PSS的疑问.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 住院招生 住院招生
背景情况:
- 个人陈述 (PSs) 是电子居留申请服务 (ERAS) 的组成部分.
- 对于PS创建及其在居住选择中的作用,存在有限的指导方针.
- 像ChatGPT一样,生成性AI引入了关于学术写作的伦理和原创性的担忧.
研究的目的:
- 评估人工智能生成的PS是否与申请人撰写的真实PS区分开来.
- 评估人工智能产生的PSs对居住选择决策的感知影响.
主要方法:
- 使用ChatGPT创建了5个人工智能生成的PS,其中包含了特定申请人的详细信息.
- 为了进行比较,使用了五个来自紧急医疗实习生的真实,未被识别的PS.
- 一项调查分发给住院主任,以评价PS的写作质量,个人属性传递和面试影响力.
主要成果:
- 在语法,写作风格,个人属性表达,整体质量或感知面试影响方面,在人工智能生成的和真实的PSS之间没有发现统计学上显著的差异.
- 受访者对人工智能生成的PS和真实的PS评价都相似.
- 自由文本评论表明了对PS在选择过程中的价值持怀疑态度.
结论:
- 人工智能生成的PS的性能与真实的PS相比,质疑PS在居留申请中的相关性.
- 这些发现表明,PSs可能缺乏原创性.
- 建议重新评估PS的作用,并探索替代评估方法 (例如面试,情境判断测试).
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