Ethics of Writing Personal Statements and Letters of Recommendations with Large Language Models.

IF 1.9 Q3 CRITICAL CARE MEDICINE
ATS scholar Pub Date : 2024-08-21 eCollection Date: 2024-12-01 DOI:10.34197/ats-scholar.2024-0038PS
Logan Hostetter, Diana Kelm, Darlene Nelson
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引用次数: 0

Abstract

Large language models are becoming ubiquitous in the editing and generation of written content and are actively being explored for their use in medical education. The use of artificial intelligence (AI) engines to generate content in academic spaces is controversial and has been meet with swift responses and guidance from academic journals and publishers regarding the appropriate use or disclosure of use of AI engines in professional writing. To date, there is no guidance to applicants of graduate medical education programs in using AI engines to generate application content-primarily personal statements and letters of recommendation. In this Perspective, we review perceptions of using AI to generate application content, considerations for the impact of AI in holistic application review, ethical challenges regarding plagiarism, and AI text classifiers. Finally, included are recommendations to the graduate medical education community to provide guidance on use of AI engines in applications to maintain the integrity of the application process in graduate medical education.

Abstract Image

用大型语言模型写个人陈述和推荐信的道德规范。
大型语言模型在书面内容的编辑和生成中变得无处不在,并且正在积极探索其在医学教育中的应用。在学术领域使用人工智能(AI)引擎生成内容是有争议的,学术期刊和出版商对在专业写作中适当使用或披露人工智能引擎的使用做出了迅速回应和指导。到目前为止,还没有指导研究生医学教育项目的申请人使用人工智能引擎生成申请内容——主要是个人陈述和推荐信。在这个视角中,我们回顾了使用人工智能生成应用程序内容的看法,人工智能在整体应用程序审查中的影响,关于抄袭的道德挑战,以及人工智能文本分类器。最后,包括对研究生医学教育界的建议,为在应用中使用人工智能引擎提供指导,以保持研究生医学教育应用过程的完整性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
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