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Book part
Publication date: 24 November 2011

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Librarianship in Times of Crisis
Type: Book
ISBN: 978-1-78052-391-0

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Book part
Publication date: 11 May 2012

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Transport and Climate Change
Type: Book
ISBN: 978-1-78052-440-5

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Book part
Publication date: 27 October 2022

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Advances in Group Processes
Type: Book
ISBN: 978-1-80455-153-0

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Article
Publication date: 5 May 2015

Henry A Davis

131

Abstract

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Journal of Investment Compliance, vol. 16 no. 1
Type: Research Article
ISSN: 1528-5812

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Article
Publication date: 20 February 2017

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Accounting, Auditing & Accountability Journal, vol. 30 no. 2
Type: Research Article
ISSN: 0951-3574

Open Access
Article
Publication date: 21 October 2022

Amber L. Cushing and Giulia Osti

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…

7288

Abstract

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.

Details

Journal of Documentation, vol. 79 no. 7
Type: Research Article
ISSN: 0022-0418

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