面对机器学习和生成式人工智能,在科学出版的光与影中航行。

IF 3.5 2区 医学 Q1 ANESTHESIOLOGY
Federico Palmisani, Daniel Segelcke, Jan Vollert
{"title":"面对机器学习和生成式人工智能,在科学出版的光与影中航行。","authors":"Federico Palmisani, Daniel Segelcke, Jan Vollert","doi":"10.1002/ejp.4736","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The public release of ChatGPT in November 2022 sparked a boom and public interest in generative artificial intelligence (AI) that has led to journals and journal families hastily releasing generative AI policies, ranging from asking authors for acknowledgement or declaration to the outright banning of use.</p><p><strong>Results: </strong>Here, we briefly discuss the basics of machine learning, generative AI, and how it will affect scientific publishing. We focus especially on potential risks and benefits to the scientific community as a whole and journals specifically.</p><p><strong>Conclusion: </strong>While the concerns of editors, for example about manufactured studies, are valid, some recently implemented or suggested policies will not be sustainable in the long run. The quality of generated text and code is quickly becoming so high that it will not only be impossible to detect the use of generative AI but would also mean taking a powerful tool away from researchers that can make their life easier every day.</p><p><strong>Significance: </strong>We discuss the history and current state of AI and highlight its relevance for medical publishing and pain research. We provide guidance on how to act now to increase good scientific practice in the world of ChatGPT and call for a task force focusing on improving publishing pain research with use of generative AI.</p>","PeriodicalId":12021,"journal":{"name":"European Journal of Pain","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Navigating the light and shadow of scientific publishing faced with machine learning and generative AI.\",\"authors\":\"Federico Palmisani, Daniel Segelcke, Jan Vollert\",\"doi\":\"10.1002/ejp.4736\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The public release of ChatGPT in November 2022 sparked a boom and public interest in generative artificial intelligence (AI) that has led to journals and journal families hastily releasing generative AI policies, ranging from asking authors for acknowledgement or declaration to the outright banning of use.</p><p><strong>Results: </strong>Here, we briefly discuss the basics of machine learning, generative AI, and how it will affect scientific publishing. We focus especially on potential risks and benefits to the scientific community as a whole and journals specifically.</p><p><strong>Conclusion: </strong>While the concerns of editors, for example about manufactured studies, are valid, some recently implemented or suggested policies will not be sustainable in the long run. The quality of generated text and code is quickly becoming so high that it will not only be impossible to detect the use of generative AI but would also mean taking a powerful tool away from researchers that can make their life easier every day.</p><p><strong>Significance: </strong>We discuss the history and current state of AI and highlight its relevance for medical publishing and pain research. We provide guidance on how to act now to increase good scientific practice in the world of ChatGPT and call for a task force focusing on improving publishing pain research with use of generative AI.</p>\",\"PeriodicalId\":12021,\"journal\":{\"name\":\"European Journal of Pain\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Pain\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/ejp.4736\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANESTHESIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Pain","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ejp.4736","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANESTHESIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景:2022年11月公开发布的ChatGPT引发了生成式人工智能(AI)的热潮和公众兴趣,导致期刊和期刊家族匆忙发布生成式人工智能政策,从要求作者致谢或声明到直接禁止使用不等:在此,我们简要讨论了机器学习、生成式人工智能的基本原理,以及它将如何影响科学出版。我们尤其关注它对整个科学界和期刊的潜在风险和益处:虽然编辑们的担忧是合理的,例如对人造研究的担忧,但最近实施或建议的一些政策从长远来看是不可持续的。生成文本和代码的质量正在迅速变得如此之高,以至于不仅不可能发现生成式人工智能的使用,而且还意味着从研究人员手中夺走了一个可以让他们每天的生活更轻松的强大工具:我们讨论了人工智能的历史和现状,并强调了其与医学出版业和疼痛研究的相关性。我们为现在如何采取行动以提高ChatGPT领域的良好科学实践提供了指导,并呼吁成立一个特别工作组,专注于利用生成式人工智能改进疼痛研究的出版工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Navigating the light and shadow of scientific publishing faced with machine learning and generative AI.

Background: The public release of ChatGPT in November 2022 sparked a boom and public interest in generative artificial intelligence (AI) that has led to journals and journal families hastily releasing generative AI policies, ranging from asking authors for acknowledgement or declaration to the outright banning of use.

Results: Here, we briefly discuss the basics of machine learning, generative AI, and how it will affect scientific publishing. We focus especially on potential risks and benefits to the scientific community as a whole and journals specifically.

Conclusion: While the concerns of editors, for example about manufactured studies, are valid, some recently implemented or suggested policies will not be sustainable in the long run. The quality of generated text and code is quickly becoming so high that it will not only be impossible to detect the use of generative AI but would also mean taking a powerful tool away from researchers that can make their life easier every day.

Significance: We discuss the history and current state of AI and highlight its relevance for medical publishing and pain research. We provide guidance on how to act now to increase good scientific practice in the world of ChatGPT and call for a task force focusing on improving publishing pain research with use of generative AI.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
European Journal of Pain
European Journal of Pain 医学-临床神经学
CiteScore
7.50
自引率
5.60%
发文量
163
审稿时长
4-8 weeks
期刊介绍: European Journal of Pain (EJP) publishes clinical and basic science research papers relevant to all aspects of pain and its management, including specialties such as anaesthesia, dentistry, neurology and neurosurgery, orthopaedics, palliative care, pharmacology, physiology, psychiatry, psychology and rehabilitation; socio-economic aspects of pain are also covered. Regular sections in the journal are as follows: • Editorials and Commentaries • Position Papers and Guidelines • Reviews • Original Articles • Letters • Bookshelf The journal particularly welcomes clinical trials, which are published on an occasional basis. Research articles are published under the following subject headings: • Neurobiology • Neurology • Experimental Pharmacology • Clinical Pharmacology • Psychology • Behavioural Therapy • Epidemiology • Cancer Pain • Acute Pain • Clinical Trials.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信