使用人工智能进行学术写作
Marilyn H Oermann1, Jacqueline K Owens, Heather Carter-Templeton
1Marilyn H. Oermann is Thelma M. Ingles Professor of Nursing at the Duke University School of Nursing, Durham, NC, and editor-in-chief, Nurse Educator. Jacqueline K. Owens is professor emerita at the Ashland University Schar College of Nursing and Health Sciences, Grafton, OH, and editor-in-chief, OJIN: The Online Journal of Issues in Nursing. Heather Carter-Templeton is associate professor at the West Virginia University School of Nursing, Morgantown, and editor, CIN: Computers, Informatics, Nursing. Gabriel Peterson is associate professor at the North Carolina Central University School of Library and Information Sciences, Durham. Hannah E. Bailey is a data analyst at Data Driven WV, West Virginia University, Morgantown. Contact author: Marilyn H. Oermann, marilyn.oermann@duke.edu. The authors have disclosed no potential conflicts of interest, financial or otherwise.
生成型人工智能 (genAI) 为学术写作提供了好处,但需要负责任地使用. 护士作者必须将他们的专业知识和判断与人工智能生成的内容相结合,以确保出版物的准确性和完整性.
科学领域:
- 学术传播学术交流
- 研究中的人工智能.
- 医学写作 医学写作
背景情况:
- 生成型人工智能 (genAI) 工具越来越容易获得,影响学术交流.
- 使用 genAI 的作者面临着关于完整性和透明度的新责任.
- 担忧包括道德问题,不准确的内容和缺乏问责制.
研究的目的:
- 在学术写作中提供关于genAI的研究概述.
- 为护士作者提供有关AI在手稿编写中的适当使用的指导方针.
- 为解决诸如作者身份,准确性,偏见,抄袭和披露等关键问题.
主要方法:
- 在学术写作中对 genAI 的最新研究结果的审查.
- 为临床医生,教育工作者和护士作者制定指南.
- 对AI整合的伦理考虑和最佳实践的分析.
主要成果:
- 基因人工智能工具可以帮助创建文本,表格和图形.
- 对于保持作者判断和主题专业知识至关重要.
- 潜在的风险包括道德违规,不准确或有偏见的内容,以及抄袭.
结论:
- 护士作者必须批判性地评估和整合AI产生的内容与他们的专业知识.
- 人工智能工具使用的透明度和披露是至关重要的.
- 遵守指南可确保学术交流的完整性和可信性.
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