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Case study: The National Archives (UK)
With this chapter on The National Archives UK (TNA), we have two main objectives. Our first objective is to raise greater awareness of current work on Artificial Intelligence (AI) applied to archives and to encourage further collaborations with other institutions on both sides of the Atlantic. TNA’s...
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| Main Authors: | , , |
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| Format: | Default Book chapter |
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2024
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| Online Access: | https://hdl.handle.net/2134/25586943.v1 |
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| _version_ | 1818164846615592960 |
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| author | Lise Jaillant Katherine Aske Annalina Caputo |
| author_facet | Lise Jaillant Katherine Aske Annalina Caputo |
| author_sort | Lise Jaillant (1384974) |
| collection | Figshare |
| description | With this chapter on The National Archives UK (TNA), we have two main objectives. Our first objective is to raise greater awareness of current work on Artificial Intelligence (AI) applied to archives and to encourage further collaborations with other institutions on both sides of the Atlantic. TNA’s projects have been developed in response to key challenges brought about by born-digital and digitised records. They range from testing existing AI-powered tools, to developing new approaches, such as using topic modelling to discover the latent or underlying topics of texts across a corpus. Here we examine a selection of TNA’s AI projects and others from across the globe that are addressing similar challenges. Our second objective is to bring a critical perspective, from the viewpoint of Digital Humanities and Computer Science. The chapter is written by a team composed of two digital humanists (Lise Jaillant and Katherine Aske) and one computer scientist (Annalina Caputo). Drawing on this cross-disciplinary expertise, we reviewed TNA’s projects and, when appropriate, formed comparisons with projects conducted by other cultural institutions. |
| format | Default Book chapter |
| id | rr-article-25586943 |
| institution | Loughborough University |
| publishDate | 2024 |
| record_format | Figshare |
| spelling | rr-article-255869432024-12-31T00:00:00Z Case study: The National Archives (UK) Lise Jaillant (1384974) Katherine Aske (7146410) Annalina Caputo (11853104) Digitised archives Born-digital archives Cultural heritage Artificial Intelligence With this chapter on The National Archives UK (TNA), we have two main objectives. Our first objective is to raise greater awareness of current work on Artificial Intelligence (AI) applied to archives and to encourage further collaborations with other institutions on both sides of the Atlantic. TNA’s projects have been developed in response to key challenges brought about by born-digital and digitised records. They range from testing existing AI-powered tools, to developing new approaches, such as using topic modelling to discover the latent or underlying topics of texts across a corpus. Here we examine a selection of TNA’s AI projects and others from across the globe that are addressing similar challenges. Our second objective is to bring a critical perspective, from the viewpoint of Digital Humanities and Computer Science. The chapter is written by a team composed of two digital humanists (Lise Jaillant and Katherine Aske) and one computer scientist (Annalina Caputo). Drawing on this cross-disciplinary expertise, we reviewed TNA’s projects and, when appropriate, formed comparisons with projects conducted by other cultural institutions.<p></p> 2024-12-31T00:00:00Z Text Chapter 2134/25586943.v1 https://figshare.com/articles/chapter/Case_study_The_National_Archives_UK_/25586943 CC BY-NC-ND 4.0 |
| spellingShingle | Digitised archives Born-digital archives Cultural heritage Artificial Intelligence Lise Jaillant Katherine Aske Annalina Caputo Case study: The National Archives (UK) |
| title | Case study: The National Archives (UK) |
| title_full | Case study: The National Archives (UK) |
| title_fullStr | Case study: The National Archives (UK) |
| title_full_unstemmed | Case study: The National Archives (UK) |
| title_short | Case study: The National Archives (UK) |
| title_sort | case study: the national archives (uk) |
| topic | Digitised archives Born-digital archives Cultural heritage Artificial Intelligence |
| url | https://hdl.handle.net/2134/25586943.v1 |