{"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}
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.
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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.
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