O. Kothgassner, A. Felnhofer
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引用次数: 2

摘要

人工智能(AI)是一个快速发展和高度跨学科的领域,涉及所有科学领域。然而,尽管一些问题领域和困境已经出现,但生成式人工智能在科学出版过程中的影响目前仍不确定。目前,OpenAI的ChatGPT(生成预训练转换器)可以根据特定的提示或上下文生成非常自然的文本,似乎是由人类编写的。ChatGPT已经在来自互联网的大量文本数据集上进行了训练,以理解和(重新)产生广泛的主题和语言风格。虽然人工智能可以在学术过程中帮助将大量数据转化为有用和可操作的信息,但这对于人类研究人员来说是不可能的。具体来说,ChatGPT可以促进科学论文的文本制作,协助科学期刊的编辑过程,但它也有导致质量较差的科学论文的风险,因为语言设计和修改过程本身可以突出已经出现的错误,以及激发新的想法,并成为参与主题的一部分。此外,AI只知道训练过的内容,它缺乏从一个任务推广到另一个任务的能力。所有这些都是本杂志未来将继续占据我们的话题。数字心理学并不打算完全禁止人工智能生成的文本,但希望要求作者标记在人工智能帮助下创建的科学作品的段落或图形,并参考相应的程序。不希望引用AI作为作者,但希望引用AI作为使用的软件。我们想指出的是,人工智能也只是一个生产内容的工具,因此作者有相应的义务来检查和批判性地使用人工智能的产品。在本期中,我们也讨论了关于AI的不同观点。我们也在扩大我们的编辑委员会,并欢迎Michael Zeiler(维也纳医科大学)担任副主编。此外,我们想指出提出特别问题的可能性。在本期杂志中,我们还收录了三篇关于数字心理学不同领域的文章,希望大家都能读得有趣。
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ChatGPT, who?
Artificial intelligence (AI) is a rapidly growing and highly interdisciplinary field that touches all areas of science. However, the impact of generative AI in the scientific publication process is currently still uncertain, although some problem areas and dilemmas are already emerging. Currently, it is ChatGPT (Generative Pre-trained Transformer) from OpenAI, that produces very naturalistic texts, seemingly written by humans, on specific prompts or context. ChatGPT has been trained on a large dataset of texts from the Internet to understand and (re)produce a wide range of topics and language styles. While AI can be helpful in the academic process to transform large amounts of data into useful and actionable information, which would not be possible for a human researcher. Specifically, ChatGPT can facilitate the text production of scientific papers, assist the editing processes within scientific journals, but it also runs the risk of leading to poorer quality scientific papers, as the linguistic design and also the revision process itself can highlight errors that have crept in, as well as stimulate new ideas and be part of the engagement with a subject matter. In addition, AI only knows the content it has been trained with and it has a lack of ability to generalize from one task to another. All of these are among the topics that will continue to occupy us in this journal in the future. Digital Psychology does not intend to ban AI-generated texts completely but would like to ask authors to mark passages or graphics of their scientific work that were created with the help of AI and to reference the respective program. It is not desired to cite AI as the author, but it is desired to cite AI as the software used. We would like to point out that AI is also just a tool to produce content and therefore the authors have a corresponding obligation to check and critically use the products of AI. In this issue we also discussed different opinions about AI. We are also expanding our Editorial Board and would like to welcome Michael Zeiler (Medical University of Vienna) as Associate Editor. Furthermore, we would like to point out the possibility for proposals of Special Issues. We have also included three articles on different areas of Digital Psychology in the current issue and wish everyone an interesting read.
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