The preprint linked below was recently shared on arXiv.
Title
Archives and AI: An Overview of Current Debates and Future Perspectives
Authors
Giovanni Colavizza
University of Amsterdam
Tobias Blanke
University of Amsterdam
Charles Jeurgens
University of Amsterdam
Julia Noordegraaf
University of Amsterdam
Source
arXiv
arXiv:2105.01117 [cs.DL]
Abstract
The digital transformation is turning archives, both old and new, into data. As a consequence, automation in the form of artificial intelligence techniques is increasingly applied both to scale traditional recordkeeping activities, and to experiment with novel ways to capture, organise and access records. We survey recent developments at the intersection of Artificial Intelligence and archival thinking and practice. Our overview of this growing body of literature is organised through the lenses of the Records Continuum model.
Source: arXiv:2105.01117 [cs.DL]
We find four broad themes in the literature on archives and artificial intelligence: theoretical and professional considerations, the automation of recordkeeping processes, organising and accessing archives, and novel forms of digital archives. We conclude by underlining emerging trends and directions for future work, which include the application of recordkeeping principles to the very data and processes which power modern artificial intelligence, and a more structural, yet critically-aware, integration of artificial intelligence into archival systems and practice.
Direct to Full Text Article
22 pages; PDF.
We find four broad themes in the literature on archives and artificial intelligence: theoretical and professional considerations, the automation of recordkeeping processes, organising and accessing archives, and novel forms of digital archives. We conclude by underlining emerging trends and directions for future work, which include the application of recordkeeping principles to the very data and processes which power modern artificial intelligence, and a more structural, yet critically-aware, integration of artificial intelligence into archival systems and practice.
Direct to Full Text Article
22 pages; PDF.
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