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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.
Ali Tawalbeh (Sat,) studied this question.
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