与大型语言模型生成文本相关的单词和短语在护理文学中的普及率
Hannah E Bailey1, Heather Carter-Templeton, Gabriel M Peterson
1Author Affiliations: Data Driven WV, John Chambers College of Business and Economics (Ms Bailey), and School of Nursing, West Virginia University (Dr Carter-Templeton), Morgantown; School of Library and Information Sciences, North Carolina Central University, Durham (Dr Peterson); Duke University School of Nursing, Durham, NC (Dr Oermann); Dwight Schar College of Nursing and Health Sciences, Ashland University, OH (Dr Owens).
生成型人工智能 (AI) 工具在护理出版物中越来越多地使用,自2023年以来,AI相关术语在文章中显著增加. 这一趋势需要开发验证方法和透明的使用政策,用于AI产生的内容在学术作品.
科学领域:
- 护理研究 护理研究
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 生成型人工智能 (AI) 工具正在迅速发展,并且在各个学科中都能获得.
- 将人工智能生成的文本与人类写作区分开来是一项挑战,这引发了人们对学术出版物中未经验证的信息的担忧.
- 人工智能融入学术写作为研究人员和出版商带来了机遇和挑战.
研究的目的:
- 在出版的护理文章中调查生成性AI使用的流行程度和程度.
- 在护理文献中识别特定的语言标记,表明AI产生的内容.
主要方法:
- 利用维度数据库检索包含与生成AI相关术语的护理文章.
- 进行了关键词分析,以检测不成比例地与基于大型语言模型的AI相关的单词和短语.
- 分析了这些术语随着时间的推移而出现的趋势,重点关注从2023年开始的时期.
主要成果:
- 从2023年起,在护理文章中观察到与生成AI相关的特定名词,动词,副词和短语的出现显著增加.
- 这些语言模式表明,护理领域的作者越来越多地采用生成性AI工具.
- 这些发现突出了新兴人工智能技术影响的学术写作实践的明显转变.
结论:
- 生成型人工智能正在越来越多地影响出版的护理研究领域.
- 护士,作者,评论员和编辑必须为AI在学术交流中的广泛存在做好准备.
- 开发强大的内容验证方法,制定透明的人工智能使用政策,并确保证据安全是消费者的关键下一步.
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