HPB and Transplant Unit, St. James's University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
Department for General and Transplantation Surgery, University Hospital Tuebingen, Tuebingen, Germany.
Ann Surg. 2024 Nov 1;280(5):713-718. doi: 10.1097/SLA.0000000000006464. Epub 2024 Aug 1.
We have assessed the chatbot Generative Pretrained Transformer, a type of artificial intelligence software designed to simulate conversations with human users, in an experiment designed to test its relevance to scientific writing. chatbot Generative Pretrained Transformer could become a promising and powerful tool for tasks such as automated draft generation, which may be useful in academic activities to make writing work faster and easier. However, the use of this tool in scientific writing raises some ethical concerns and therefore there have been calls for it to be regulated. It may be difficult to recognize whether an abstract or paper is written by a chatbot or a human being because chatbots use advanced techniques, such as natural language processing and machine learning, to generate text that is similar to human writing. To detect the author is a complex task and requires thorough critical reading to reach a conclusion. The aim of this paper is, therefore, to explore the pros and cons of the use of chatbots in scientific writing.
我们评估了聊天机器人 Generative Pretrained Transformer，这是一种旨在模拟与人类用户对话的人工智能软件，在一项旨在测试其与科学写作相关性的实验中。聊天机器人 Generative Pretrained Transformer 可能成为自动化草稿生成等任务的有前途且强大的工具，这在学术活动中可能有助于加快写作速度并使其更轻松。然而，该工具在科学写作中的使用引发了一些伦理问题，因此有人呼吁对其进行监管。由于聊天机器人使用自然语言处理和机器学习等先进技术来生成类似于人类写作的文本，因此可能很难识别摘要或论文是由聊天机器人还是人类撰写的。检测作者是一项复杂的任务，需要进行彻底的批判性阅读才能得出结论。因此，本文的目的是探讨在科学写作中使用聊天机器人的优缺点。
