最难抵挡的诱惑莫过于人工智能

IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IT Professional Pub Date : 2024-01-22 DOI:10.1109/mitp.2023.3340529
Andrew Park, Jan Kietzmann, Jayson Killoran, Yuanyuan Cui, Patrick van Esch, Amir Dabirian
{"title":"最难抵挡的诱惑莫过于人工智能","authors":"Andrew Park, Jan Kietzmann, Jayson Killoran, Yuanyuan Cui, Patrick van Esch, Amir Dabirian","doi":"10.1109/mitp.2023.3340529","DOIUrl":null,"url":null,"abstract":"The use of generative AI has become increasingly prevalent in the business world. With the ability to create original content and automate certain tasks, businesses have been quick to adopt this technology. However, as with any emerging technology, there are potential pitfalls to be aware of. This article aims to review the current state of generative AI in business and highlight some of the potential risks associated with its use. Specifically, we examine issues such as pausing giant AI experiments, misinformation, data accuracy, process automation, shift of power, control of civilization, organizational security, and the potential for AI-generated content to deceive individuals. By bringing these concerns to the forefront, we hope to encourage a more thoughtful and cautious approach to the use of generative AI in business.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nothing Is Harder to Resist Than the Temptation of AI\",\"authors\":\"Andrew Park, Jan Kietzmann, Jayson Killoran, Yuanyuan Cui, Patrick van Esch, Amir Dabirian\",\"doi\":\"10.1109/mitp.2023.3340529\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of generative AI has become increasingly prevalent in the business world. With the ability to create original content and automate certain tasks, businesses have been quick to adopt this technology. However, as with any emerging technology, there are potential pitfalls to be aware of. This article aims to review the current state of generative AI in business and highlight some of the potential risks associated with its use. Specifically, we examine issues such as pausing giant AI experiments, misinformation, data accuracy, process automation, shift of power, control of civilization, organizational security, and the potential for AI-generated content to deceive individuals. By bringing these concerns to the forefront, we hope to encourage a more thoughtful and cautious approach to the use of generative AI in business.\",\"PeriodicalId\":49045,\"journal\":{\"name\":\"IT Professional\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IT Professional\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1109/mitp.2023.3340529\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IT Professional","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/mitp.2023.3340529","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

生成式人工智能在商业领域的应用越来越普遍。由于能够创建原创内容并自动执行某些任务,企业已经迅速采用了这项技术。然而,与任何新兴技术一样,也有一些潜在的隐患需要注意。本文旨在回顾生成式人工智能在企业中的应用现状,并强调与使用该技术相关的一些潜在风险。具体来说,我们将探讨暂停巨型人工智能实验、错误信息、数据准确性、流程自动化、权力转移、文明控制、组织安全以及人工智能生成的内容欺骗个人的可能性等问题。我们希望通过将这些问题摆到最前沿,鼓励人们以更加深思熟虑和谨慎的方式在商业中使用人工智能生成技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Nothing Is Harder to Resist Than the Temptation of AI
The use of generative AI has become increasingly prevalent in the business world. With the ability to create original content and automate certain tasks, businesses have been quick to adopt this technology. However, as with any emerging technology, there are potential pitfalls to be aware of. This article aims to review the current state of generative AI in business and highlight some of the potential risks associated with its use. Specifically, we examine issues such as pausing giant AI experiments, misinformation, data accuracy, process automation, shift of power, control of civilization, organizational security, and the potential for AI-generated content to deceive individuals. By bringing these concerns to the forefront, we hope to encourage a more thoughtful and cautious approach to the use of generative AI in business.
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
IT Professional
IT Professional COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
5.00
自引率
0.00%
发文量
111
审稿时长
>12 weeks
期刊介绍: IT Professional is a technical magazine of the IEEE Computer Society. It publishes peer-reviewed articles, columns and departments written for and by IT practitioners and researchers covering: practical aspects of emerging and leading-edge digital technologies, original ideas and guidance for IT applications, and novel IT solutions for the enterprise. IT Professional’s goal is to inform the broad spectrum of IT executives, IT project managers, IT researchers, and IT application developers from industry, government, and academia.
期刊最新文献
COTriage: Applying a Model-Driven Proposal for Improving the Development of Health Information Systems with Chatbots IEEE Computer Society Info Hospital and Home Environments Automation for Amyotrophic Lateral Sclerosis Patients: Building Information Modeling and the Internet of Things in Digital Environments ChatGPT for Software Development: Opportunities and Challenges Trajectory Analysis in UKF: Predicting Table Tennis Ball Flight Parameters
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1