“So how do we balance all of these needs?”: how the concept of AI technology impacts digital archival expertise
Purpose This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise. Design/methodology/approach In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals ( n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis. Findings Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise. Research limitations/implications The volunteer basis of this study meant that the sample was not representative or generalisable. Originality/value Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.
Year of publication: |
2022
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Authors: | Cushing, Amber L. ; Osti, Giulia |
Published in: |
Journal of Documentation. - Emerald Publishing Limited, ISSN 1758-7379, ZDB-ID 1479864-5. - Vol. 79.2022, 7, p. 12-29
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Publisher: |
Emerald Publishing Limited |
Subject: | Focus groups | Qualitative | Archives | Digital preservation | Template analysis | Artificial Intelligence (AI) |
Saved in:
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