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人工智能软件可以生成居留申请的个人陈述,项目主管认为这是可以接受的,并且很难与申请人的作文区分开来
Robert E Johnstone1, Grant Neely1, Daniel C Sizemore1
1Department of Anesthesiology, West Virginia University, United States of America.
Journal of clinical anesthesia
|June 19, 2023
概括
人工智能可以生成可接受的麻醉学实习生个人陈述. 项目负责人发现,人工智能生成的陈述与人类撰写的陈述相当,为申请人提供了一个可行的替代方案.
科学领域:
- 医学教育 医学教育
- 医学中的人工智能
- 申请居留权的申请.
背景情况:
- 制作引人注目的个人陈述对于竞争性居留申请至关重要.
- 麻醉学课程收到众多应用程序,使得陈述评估具有挑战性.
- 人工智能工具的出现为应用程序内容生成提供了新的可能性.
研究的目的:
- 为了评估人工智能生成的个人陈述对于麻醉师执业申请的可接受性.
- 评估项目主管区分人工智能生成的陈述与申请人撰写的陈述的能力.
主要方法:
- 聊天GPT被用来生成基于申请人的共同经验的两个不同的个人陈述.
- 对麻醉学项目主任进行了关于人工智能生成陈述的可接受性和可检测性的调查.
- 受访者对陈述进行了评价,并表示他们是否检测到AI作者的身份.
主要成果:
- 很高的百分比的节目主任发现,人工智能生成的两个陈述 (90%的田径,97%的) 都是可以接受的.
- 大多数董事认为这些声明很好或很好 (74%的运动员,63%的师).
- 大多数董事无法区分人工智能生成的陈述与申请人撰写的陈述 (61%用于田径,80%用于).
结论:
- 像ChatGPT这样的AI工具可以为居住申请制作高质量的个人陈述.
- 这些由人工智能生成的陈述被视为可接受的,并且很难与人类写的陈述区分开来.
- 人工智能为生成个人陈述提供了传统应用服务的经济有效和高效的替代方案.
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