Potential Impact of Data-Centric AI on Society

IF 2.1 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Technology and Society Magazine Pub Date : 2023-09-22 DOI:10.1109/MTS.2023.3306532

Sushant Kumar;Ritesh Sharma;Vishakha Singh;Shrikant Tiwari;Sanjay Kumar Singh;Sumit Datta

{"title":"Potential Impact of Data-Centric AI on Society","authors":"Sushant Kumar;Ritesh Sharma;Vishakha Singh;Shrikant Tiwari;Sanjay Kumar Singh;Sumit Datta","doi":"10.1109/MTS.2023.3306532","DOIUrl":null,"url":null,"abstract":"Data-centric artificial intelligence (AI) (DCAI) has the potential to bring significant benefits to society; however, it also poses significant challenges and potential risks. It is crucial to approach the development and deployment of DCAI systems with caution, taking into account the potential societal impacts and working to mitigate any negative effects. DCAI technology is now an essential part of operations for many of the world’s largest software and hardware industries. These industries offer a range of AI and machine-learning (ML) services, tools, and platforms to society to help businesses process and analyze data. By leveraging data, these industries are able to drive innovation, optimize their operations, and gain a competitive advantage in the market. From personalized recommendations to optimized manufacturing processes, data analytics and ML algorithms are being used to improve the overall customer experience, increase efficiency, and identify new opportunities for growth. As data continue to play an increasingly important role in business operations, it is likely that more companies will adopt these technologies to stay ahead of the curve and succeed in today’s data-driven world \n<xref>[1]</xref>\n, \n<xref>[2]</xref>\n, \n<xref>[3]</xref>\n.","PeriodicalId":55016,"journal":{"name":"IEEE Technology and Society Magazine","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/44/10260710/10260737.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Technology and Society Magazine","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10260737/","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

Abstract

Data-centric artificial intelligence (AI) (DCAI) has the potential to bring significant benefits to society; however, it also poses significant challenges and potential risks. It is crucial to approach the development and deployment of DCAI systems with caution, taking into account the potential societal impacts and working to mitigate any negative effects. DCAI technology is now an essential part of operations for many of the world’s largest software and hardware industries. These industries offer a range of AI and machine-learning (ML) services, tools, and platforms to society to help businesses process and analyze data. By leveraging data, these industries are able to drive innovation, optimize their operations, and gain a competitive advantage in the market. From personalized recommendations to optimized manufacturing processes, data analytics and ML algorithms are being used to improve the overall customer experience, increase efficiency, and identify new opportunities for growth. As data continue to play an increasingly important role in business operations, it is likely that more companies will adopt these technologies to stay ahead of the curve and succeed in today’s data-driven world [1] , [2] , [3] .

查看原文本刊更多论文

以数据为中心的人工智能对社会的潜在影响

以数据为中心的人工智能有可能为社会带来重大利益；然而，它也带来了重大挑战和潜在风险。谨慎开发和部署DCAI系统至关重要，要考虑到潜在的社会影响，并努力减轻任何负面影响。DCAI技术现在是世界上许多最大的软件和硬件行业运营的重要组成部分。这些行业为社会提供了一系列人工智能和机器学习（ML）服务、工具和平台，以帮助企业处理和分析数据。通过利用数据，这些行业能够推动创新，优化运营，并在市场上获得竞争优势。从个性化推荐到优化的制造流程，数据分析和ML算法正被用于改善整体客户体验、提高效率和确定新的增长机会。随着数据在商业运营中继续发挥越来越重要的作用，很可能会有更多的公司采用这些技术，以保持领先地位，并在当今数据驱动的世界中取得成功[1]，[2]，[3]。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

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

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.