何时不使用人工智能

IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Ketra Schmitt
{"title":"何时不使用人工智能","authors":"Ketra Schmitt","doi":"10.1109/MTS.2024.3402708","DOIUrl":null,"url":null,"abstract":"<fig> <graphic> </fig>\nLarge Language Models (LLMs) have emerged as a disruptive force. While artifical intelligence (AI)-generated responses can include text, images, code, and other materials, here, we largely focus on the challenges posed by text generation in educational settings and the workplace.","PeriodicalId":55016,"journal":{"name":"IEEE Technology and Society Magazine","volume":"43 2","pages":"7-15"},"PeriodicalIF":2.1000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10568165","citationCount":"0","resultStr":"{\"title\":\"When Not to Use AI\",\"authors\":\"Ketra Schmitt\",\"doi\":\"10.1109/MTS.2024.3402708\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<fig> <graphic> </fig>\\nLarge Language Models (LLMs) have emerged as a disruptive force. While artifical intelligence (AI)-generated responses can include text, images, code, and other materials, here, we largely focus on the challenges posed by text generation in educational settings and the workplace.\",\"PeriodicalId\":55016,\"journal\":{\"name\":\"IEEE Technology and Society Magazine\",\"volume\":\"43 2\",\"pages\":\"7-15\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10568165\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Technology and Society Magazine\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10568165/\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Technology and Society Magazine","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10568165/","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

大型语言模型(LLM)已成为一种颠覆性的力量。虽然人工智能(AI)生成的回复可以包括文本、图像、代码和其他材料,但在这里,我们主要关注文本生成在教育环境和工作场所带来的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When Not to Use AI
Large Language Models (LLMs) have emerged as a disruptive force. While artifical intelligence (AI)-generated responses can include text, images, code, and other materials, here, we largely focus on the challenges posed by text generation in educational settings and the workplace.
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
IEEE Technology and Society Magazine
IEEE Technology and Society Magazine 工程技术-工程:电子与电气
CiteScore
3.00
自引率
13.60%
发文量
72
审稿时长
>12 weeks
期刊介绍: IEEE Technology and Society Magazine invites feature articles (refereed), special articles, and commentaries on topics within the scope of the IEEE Society on Social Implications of Technology, in the broad areas of social implications of electrotechnology, history of electrotechnology, and engineering ethics.
×
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