Infrastructure for the implementation of artificial intelligence to support records management at the Council for Scientific and Industrial Research in South Africa

Mashilo Modiba, P. Ngulube, N. Marutha
{"title":"Infrastructure for the implementation of artificial intelligence to support records management at the Council for Scientific and Industrial Research in South Africa","authors":"Mashilo Modiba, P. Ngulube, N. Marutha","doi":"10.4314/esarjo.v41i.11","DOIUrl":null,"url":null,"abstract":"This study sought to investigate artificial intelligence (AI) infrastructure required to manage records at the Council for Scientific and Industrial Research (CSIR) in South Africa. AI algorithms are used to assist robotic machines in performing their functions effectively and efficiently across different disciplines, including archives and records management. Convergent mixed-methods research was conducted, and data were collected using interviews and questionnaires. Data were analysed thematically and statistically and presented in tables and figures. The study revealed that AI infrastructure was a prerequisite for providing high-quality records management services at CSIR. However, the records management practitioners lack the knowledge and skills required to implement AI infrastructure for records management effectively. The study proposes a framework to guide the application of AI by CSIR. The proposed framework will specify the AI infrastructure required and AI application to the management of records at CSIR. It is hoped that the proposed framework will serve as a benchmark and guideline for the implementation of AI in the archives and records management industry.","PeriodicalId":125371,"journal":{"name":"ESARBICA Journal: Journal of the Eastern and Southern Africa Regional Branch of the International Council on Archives","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ESARBICA Journal: Journal of the Eastern and Southern Africa Regional Branch of the International Council on Archives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/esarjo.v41i.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study sought to investigate artificial intelligence (AI) infrastructure required to manage records at the Council for Scientific and Industrial Research (CSIR) in South Africa. AI algorithms are used to assist robotic machines in performing their functions effectively and efficiently across different disciplines, including archives and records management. Convergent mixed-methods research was conducted, and data were collected using interviews and questionnaires. Data were analysed thematically and statistically and presented in tables and figures. The study revealed that AI infrastructure was a prerequisite for providing high-quality records management services at CSIR. However, the records management practitioners lack the knowledge and skills required to implement AI infrastructure for records management effectively. The study proposes a framework to guide the application of AI by CSIR. The proposed framework will specify the AI infrastructure required and AI application to the management of records at CSIR. It is hoped that the proposed framework will serve as a benchmark and guideline for the implementation of AI in the archives and records management industry.
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
南非科学和工业研究理事会实施人工智能以支持记录管理的基础设施
本研究旨在调查南非科学与工业研究理事会(CSIR)管理记录所需的人工智能(AI)基础设施。人工智能算法用于帮助机器人在不同学科中有效和高效地执行其功能,包括档案和记录管理。采用融合混合方法研究,采用访谈法和问卷法收集数据。对数据进行了专题和统计分析,并以表格和数字形式呈现。研究表明,人工智能基础设施是CSIR提供高质量记录管理服务的先决条件。然而,记录管理从业者缺乏有效实施记录管理的人工智能基础设施所需的知识和技能。本研究提出了一个指导CSIR应用人工智能的框架。拟议的框架将指定所需的人工智能基础设施和人工智能应用于CSIR的记录管理。政府希望建议的架构能成为档案及档案管理行业实施人工智能的基准和指引。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Factors influencing access to archives at Botswana National Archives and Records Services Records management in an ISO certified environment: a case study of Botho University in Botswana Infrastructure for the implementation of artificial intelligence to support records management at the Council for Scientific and Industrial Research in South Africa Embedding digital preservation strategies in the management of institutional repositories in South Africa Digital records management practices in the public sector in Manicaland Province of Zimbabwe
×
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