Jaillant, L and Warwick, C and Gooding, P and Aske, K and Layne-Worthey, G and Downie, J S (Eds).
(2025)
Navigating Artificial Intelligence for Cultural Heritage Organisations.
[Book].
UCL Press: London.
Preview |
Text
Navigating-Artificial-Intelligence-for-Cultural-Heritage-Organisations.pdf Download (11MB) | Preview |
Abstract
The question of how artificial intelligence and machine learning should be applied to data in libraries and other cultural institutions is a challenge shared by heritage professionals, computer scientists and digital humanities scholars. As the number of digitised and born-digital records grows, archival practices are looking to automated systems to manage workloads and make cultural records more accessible. AI is playing a crucial role in data management systems within the cultural heritage sector, and information professionals are looking for ways to navigate current challenges and opportunities. Additionally, sector professionals and scholars are benefiting from the many new affordances and innovative research questions offered by using large-scale digital collections as data. Navigating Artificial Intelligence for Cultural Heritage Organisations explores the innovative technologies and approaches to digitised and born-digital records within libraries and archives across the UK and US, and beyond. It brings together chapters from experts across the fields of digital humanities, computer science and information science, alongside professionals within the library and archival sector. The authors explore technologies being applied to digitised and born-digital records within libraries, archives and other heritage organisations, including innovative approaches in computer vision, Chat GPT, and user experience. The volume has been designed to reflect current and state-of-the-art technologies and innovations for the preservation and accessibility of digitised and born-digital records, to help navigate the future of AI for cultural heritage organisations.
| Type: | Book |
|---|---|
| Title: | Navigating Artificial Intelligence for Cultural Heritage Organisations |
| ISBN-13: | 9781800088375 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.14324/111.9781800088375 |
| Publisher version: | https://doi.org/10.14324/111.9781800088375 |
| Language: | English |
| Additional information: | Any third-party material in this book is not covered by the book’s Creative Commons licence. Details of the copyright ownership and permitted use of third- party material is given in the image (or extract) credit lines. Every effort has been made to identify and contact copyright holders and any omission or error will be corrected if notification is made to the publisher. If you would like to reuse any third- party material not covered by the book’s Creative Commons licence, you will need to obtain permission directly from the copyright owner. This book is published under a Creative Commons Attribution NonCommercial 4.0 International licence (CC BY- NC 4.0), https://creativecommons.org/licenses/by-nc/4.0/. This licence allows you to share and adapt the work for non- commercial use providing attribution is made to the author and publisher (but not in any way that suggests that they endorse you or your use of the work) and any changes are indicated. Attribution should include the following information: Jaillant, L., Warwick, C., Gooding, P., Aske, K., Layne- Worthey, G. and Downie, J. S. (eds). 2025. Navigating Artificial Intelligence for Cultural Heritage Organisations. London, UCL Press. https://doi.org/10.14324/111.9781800088375 Further details about Creative Commons licences are available at https://creativecommons.org/licenses/ |
| Keywords: | artificial intelligence, cultural heritage, archives, machine learning, computer vision, digital humanities, digital technologies |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10209236 |
Archive Staff Only
 |
View Item |
