使用人工智能是否会让人从个人陈述中退出? 我们不能告诉
Jenna N Whitrock1, Catherine G Pratt1, Michela M Carter1
1Cincinnati Research in Outcomes and Safety in Surgery (CROSS) Research Group, Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH.
Surgery
|September 19, 2024
概括
外科住院审查员很难识别人工智能生成的个人陈述,许多人错误地对其进行分类. 这引发了人们对人工智能的担忧.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 外科住院招生入学情况
背景情况:
- 目前的指导方针禁止使用人工智能 (AI) 在居留申请中生成个人陈述.
- 在应用程序中监控人工智能生成的内容是具有挑战性的.
- 该研究解决了评估AI书面陈述的检测能力的需要.
研究的目的:
- 评估外科住院申请审查人员在区分人工智能生成的个人陈述和人类撰写的个人陈述方面的能力.
- 探索评论员对人工智能在制作个人陈述中的使用的看法和意见.
主要方法:
- 使用了六份个人陈述:三份由ChatGPT生成,三份由成功的手术申请人撰写.
- 在一个机构的30名失明参与者 (15名教师,15名居民) 评估了这些陈述.
- 参与者确定了AI产生的陈述,并完成了一项关于他们对应用中的AI观点的调查.
主要成果:
- 审查者仅在59%的时间内正确识别了人工智能生成的个人陈述.
- 在提交的文件中,人工智能生成的陈述经常被评为最好 (60%) 或最差 (43.3%).
- 显著多数人 (80%) 认为人工智能使用将影响他们对申请人的评估,尽管66.7%的人反对使用人工智能.
结论:
- 外科教师和住院人员表现出有限的能力可靠地检测人工智能产生的个人陈述.
- 这些发现凸显了审查人员对人工智能在居留申请过程中的影响的重大担忧.
- 需要进一步调查,以解决人工智能在医学教育录取中所带来的挑战.
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