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Navigating Artificial Intelligence for Cultural Heritage Organisations

I am delighted to announce that we have submitted the complete manuscript of the edited collection Navigating Artificial Intelligence for Cultural Heritage Organisations. The book will be published by UCL Press later this year. 

Here is the table of contents:


Lise Jaillant, Claire Warwick, Paul Gooding, Katherine Aske, Glen Layne-Worthey and J. Stephen Downie


Section 1: ‘The Role of AI in Preserving and Making Accessible

Digitised and Born-digital Records’


1. Case Study 1: The National Archives (UK)

Lise Jaillant, Katherine Aske, and Annalina Caputo

2. Case Study 2: Computer Vision and Cultural Heritage

Catherine Nicole Coleman

3. Machine Learning at the National Library of Norway

Javier de la Rosa


Section 2: ‘Text and Beyond: AI applied to Text,

Images and Audio-visual Archives’


4. From Preservation to Access and Beyond – The Role of AI in Audio-visual Archives

Julia Noordegraaf and Anna Schjøtt Hansen

5. Case Study 3: Digital Mapping and Cultural Heritage 

Claire Warwick and Katherine Aske

6. Case Study 4: Making More Sense with Machines: Artificial Intelligence at the HathiTrust Research Center

Glen Layne-Worthey and J. Stephen Downie

with contributions from Janet Swatscheno, Nikolaus Parulian, Jill Naiman, Ben Schmidt, Peter Organisciak, Ted Underwood, and Ryan Dubnicek.


Section 3: ‘Digitised Collections and Hand-written Text:

Challenges and New Methods’


7. Distant Viewing Archives

Lauren Tilton and Taylor Arnold

8. Case Study 5: The Adoption of Handwritten Text Recognition at the National Library of Scotland

Paul Gooding, Joseph Nockels and Melissa Terras

9. Conversing with the Past: Re-examining the Legacy of Slavery in Domestic Traffic Newspaper Advertisements with OpenAI's GPT3 LLM

            Rajesh Kumar Gnanasekaran, Christopher E. Haley and Richard Marciano