The Role of AI in Improving Digital Archiving in University Libraries

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Digital and Traditional Archives Management Library Science and Information Library Science and Information Systems

Abstract

Artificial intelligence (AI) techniques present new opportunities to enhance digital archiving practices in academic libraries.This study surveyed 77 university librarians in Jordan to examine the impact of various AI applications on improving digital archiving systems.Dimensions studied included metadata extraction, content recognition, recommendations, translations/transcriptions, preservation, and data analytics.Results of a multiple linear regression indicated AI significantly influences digital archiving, with data analytics exhibiting the strongest effect.Qualitative feedback also revealed promising adoption in leveraging AI to index resources, preserve fragile materials, and uncover usage insights.The findings provide a useful assessment of integrating AI for next generation library archival management.Practical recommendations center on staff training in AI competencies and cross-institutional knowledge exchange.Further research into user perceptions is also warranted.

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References

2020Text Mining in Big Data Analytics 2018More human than human? Artificial intelligence in the archive 2017Rogue Archives: Digital Cultural Memory and Media Fandom 2022Rethinking data infrastructure and its ethical implications in the face of automated digital content generation 2022Digital preservation of information sources at academic libraries in Jordan: an employee’s perspective 2023(Mis)Matching Metadata: Improving Accessibility in Digital Visual Archives through the EyCon Project 2023In a Perfect World: Exploring the Desires and Realities for Digitized Historical Image Archives 2020Digital Curation and Machine Learning Experimentation in Archives

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2025Generative AI and the Information Society: Ethical Reflections from Libraries

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