Artificial Intelligence in Records and Information Management

Samson Mutsagondo

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English

Information Science Publishing
11 April 2025

Library, archive & information management; Production & quality control management; Automatic control engineering

As trending and general technology of the day, artificial intelligence (AI) has permeated every facet of life such as medicine, commerce, health as well as media. The records management domain is no exception. Records and information management benefit from AI by being relieved of many tedious processes that are may be easily subjected to manual oversight. Thus, through AI, compliance, security, and efficiency in records management can be greatly enhanced. Artificial Intelligence in Records and Information Management outlines and assesses the role and contribution of AI in the records and information management domain. It establishes how records and information management can benefit from the application of artificial intelligence inclusive of all its sub-technologies. Covering topics such as archival software, data governance, and academic scholarship, this book is an excellent resource for records officers, records managers, information professionals, archivists, documentalists, information and communication technology (ICT) professionals, heritage managers, museologists, historians, archaeologists, media professionals, professionals, researchers, scholars, academicians, and more.

Edited by: Samson Mutsagondo
Imprint: Information Science Publishing
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9798369397961
Pages: 572
Publication Date: 11 April 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Samson Mutsagondo is a Post-Doctoral Research Fellow at Sorbonne University Abu Dhabi, United Arab Emirates, where he is involved in two research projects, that is, the application of Artificial Intelligence in records, archives, and information management as well as greening information management. He has worked before at the University of Zimbabwe as a Senior Lecturer and at the National Archives of Zimbabwe as a Chief Archivist. His research interests lie in the application of Artificial Intelligence in records, archives, and information management, electronic records management, greening information management, and sustainable records management. Dr. Mutsagondo has published widely and has presented papers at numerous international conferences.