Digital preservation strategies for historical records in the age of AI and the metaverse

Purpose This study aims to explore digital preservation strategies for historical records, focusing on the integration of artificial intelligence (AI) and the metaverse. It examines how AI-driven technologies and immersive virtual spaces can enhance the accessibility, integrity and usability of digitized historical archives. Design/methodology/approach The research draws on literature from AI, digital preservation and archival studies to analyze current trends and challenges in preserving digital records. It evaluates the role of AI in automating preservation processes and examines the potential of the metaverse for interactive engagement with historical data. Ethical considerations regarding data privacy and ownership are also discussed. Findings AI enhances digital preservation by streamlining digitization and predictive record management. The metaverse offers a novel platform for immersive engagement with historical records, allowing users to interact with and experience archives in dynamic, virtual environments. However, challenges related to data ownership, privacy and the integrity of historical records must be addressed to ensure sustainable preservation efforts. Originality/value This paper contributes to the growing body of research on the intersection of emerging technologies and digital preservation. It offers new insights into how AI and the metaverse can reshape archival practices, highlighting both opportunities and ethical challenges for institutions tasked with preserving historical records in an increasingly digital world.

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Publication Details

Journal
Library Hi Tech News
Published
2024-11-27
DOI
https://doi.org/10.1108/lhtn-10-2024-0175
Citations
1
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.83
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article

Digital preservation strategies for historical records in the age of AI and the metaverse

Ugonna Vivian Ailakhu
1 citations
Library Hi Tech News
3D Surveying and Cultural Heritage
0.83
article

Digital preservation strategies for historical records in the age of AI and the metaverse

Ugonna Vivian Ailakhu
article en
1 citations

Abstract

Purpose This study aims to explore digital preservation strategies for historical records, focusing on the integration of artificial intelligence (AI) and the metaverse. It examines how AI-driven technologies and immersive virtual spaces can enhance the accessibility, integrity and usability of digitized historical archives. Design/methodology/approach The research draws on literature from AI, digital preservation and archival studies to analyze current trends and challenges in preserving digital records. It evaluates the role of AI in automating preservation processes and examines the potential of the metaverse for interactive engagement with historical data. Ethical considerations regarding data privacy and ownership are also discussed. Findings AI enhances digital preservation by streamlining digitization and predictive record management. The metaverse offers a novel platform for immersive engagement with historical records, allowing users to interact with and experience archives in dynamic, virtual environments. However, challenges related to data ownership, privacy and the integrity of historical records must be addressed to ensure sustainable preservation efforts. Originality/value This paper contributes to the growing body of research on the intersection of emerging technologies and digital preservation. It offers new insights into how AI and the metaverse can reshape archival practices, highlighting both opportunities and ethical challenges for institutions tasked with preserving historical records in an increasingly digital world.

Library Hi Tech News
National Open University of Nigeria (NG)
Life in Land
Openalex Percentile: Top 18%
3D Surveying and Cultural Heritage
0.83
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Digital preservation strategies for historical records in the age of AI and the metaverse — Ugonna Vivian Ailakhu · Library Hi Tech News (2024) | TGRS Research Map | TGRS