Generative AI in Technical Communication: A Review of Research from 2023 to 2024

Carol Reeves, J. J. Sylvia
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引用次数: 0

Abstract

Since its release in late 2022, ChatGPT and subsequent generative artificial intelligence (GAI) tools have raised a wide variety of questions and concerns for the field of technical communication: How will these tools be incorporated into professional settings? How might we appropriately integrate these tools into our research and teaching? In this review, we examine research published in 2023–2024 addressing these questions ( N = 28). Overall, we find preliminary evidence that GAI tools can positively impact student writing and assessment; they also have the potential to assist with some aspects of academic and medical research and writing. However, there are concerns about their reliability and the ethical conundrums raised when they are used inappropriately or when their outputs cannot be distinguished from humans. More research is needed for evidence-based teaching and research strategies as well as policies guiding ethical use. We offer suggestions for new research avenues and methods.
技术交流中的生成式人工智能:2023 至 2024 年研究综述
自 2022 年底发布以来,ChatGPT 及其后的生成式人工智能(GAI)工具在技术交流领域引发了各种各样的问题和关注:这些工具将如何融入专业环境?我们该如何将这些工具恰当地融入我们的研究和教学中?在本综述中,我们研究了 2023-2024 年间针对这些问题发表的研究成果(N = 28)。总体而言,我们发现有初步证据表明,GAI 工具可以对学生的写作和评估产生积极影响;它们还有可能在学术和医学研究与写作的某些方面提供帮助。然而,我们也担心这些工具的可靠性,以及在使用不当或其输出结果无法与人类区分时所引发的伦理难题。我们需要对循证教学和研究策略以及指导伦理使用的政策进行更多研究。我们对新的研究途径和方法提出了建议。
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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