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International Conference on Information

iConference 2023: Information for a Better World: Normality, Virtuality, Physicality, Inclusivity pp 259–276Cite as

“That’s Not Damning with Faint Praise”: Understanding the Adoption of Artificial Intelligence for Digital Preservation Tasks

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Part of the Lecture Notes in Computer Science book series (LNCS,volume 13971)

Abstract

Memory organisations need to constantly address the adoption of digital technology to remain relevant in light of recent innovations that constitute the so-called fourth technological revolution. This study aims to expand the understanding of the current adoption of Artificial Intelligence for digital preservation tasks by investigating it through the lenses of the Diffusion of Innovations theory in relation to disruptive innovations. The analysis takes the form of an exploratory qualitative inquiry, performed on the transcripts of four focus groups presenting opinions on specific applications of Artificial Intelligence systems, mostly related to Computer Vision, expressed by professionals engaged in digital preservation. The study results indicate that there is strong interest in adopting these innovations. However, further research and the development of a dialogue among the involved communities of practice are necessary to determine the implications and potential outcomes of this technological advancement in the context of digital preservation.

Keywords

  • Artificial intelligence
  • Digital preservation
  • Focus groups
  • Abductive analysis
  • Qualitative methods
  • Diffusion of innovations theory

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Acknowledgements

This work was conducted with the financial support of the Science Foundation Ireland Centre for Research Training in Digitally-Enhanced Reality (d-real) under Grant No. 18/CRT/6224.

The authors would also like to thank Stephen Howell of Microsoft Ireland for his support with using Microsoft Azure to request tags and descriptions for the phase one focus group prompts. In addition, the authors would like to thank the following students who assisted with data collection in the study: Rachael Agnew, MacKenzie Barry, Nancy Bruseker, Sinead Carey, Emma, Carroll, Lauren Caravati, Na Chen, Caroline Crowther, Aoife Cummins Georghiou, Marc Dagohoy, Desree Efamaui, Haichuan Feng, Laura Finucane, Nathan Fitzmaurice, Conor Greene, Yazhou He, Yuhan Jiang, Joang, Zhou, Grainne Kavanagh, Kate Keane, Mark Keleghan, Miao Li, Danyang Liu, Xijia Liu, Siqi Liu, Hannah Lynch, Conor Murphy, Niamh Elizabeth Murphy, Rebecca Murphy, Kyanna Murray, Kayse Nation, Blaithin NiChathain, Roisin O’Brien, Niall O’Flynn, Abigail Raebig, Bernadette Ryan, Emma Rothwell, John Francis Sharpe, Lin Shuhua, Zhongqian Wang, Robin Wharton, Zhillin Wei, India Wood, Bingye Wu, Deyan Zhang, Zhongwen Zheng and Zheyuan Zhang.

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Authors and Affiliations

  1. University College Dublin, Dublin, Ireland

    Giulia Osti & Amber Cushing

Authors
  1. Giulia Osti
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  2. Amber Cushing
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Correspondence to Giulia Osti .

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Editors and Affiliations

  1. iSchool Organization, Berlin, Germany

    Isaac Sserwanga

  2. Victoria University of Wellington, Wellington, New Zealand

    Anne Goulding

  3. University of Missouri, Chicago, IL, USA

    Heather Moulaison-Sandy

  4. University of South Australia, Adelaide, SA, Australia

    Jia Tina Du

  5. University of Porto, Porto, Portugal

    António Lucas Soares

  6. Monash University, Clayton, VIC, Australia

    Viviane Hessami

  7. University of Tennessee at Knoxville, Knoxville, TN, USA

    Rebecca D. Frank

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Osti, G., Cushing, A. (2023). “That’s Not Damning with Faint Praise”: Understanding the Adoption of Artificial Intelligence for Digital Preservation Tasks. In: Sserwanga, I., et al. Information for a Better World: Normality, Virtuality, Physicality, Inclusivity. iConference 2023. Lecture Notes in Computer Science, vol 13971. Springer, Cham. https://doi.org/10.1007/978-3-031-28035-1_18

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  • DOI: https://doi.org/10.1007/978-3-031-28035-1_18

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  • Online ISBN: 978-3-031-28035-1

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