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Navigating Artificial Intelligence for Cultural Heritage Organisations

As digitized collections grow, Navigating Artificial Intelligence assesses how AI is reshaping the accessibility and ethical challenges of cultural records.

As artificial intelligence reshapes the cultural heritage sector, libraries, archives, and museums face novel opportunities and pressing ethical challenges. Navigating Artificial Intelligence for Cultural Heritage Organisations brings together leading experts from digital humanities, computer science, and information science to explore how AI-driven technologies transform the management and interpretation of digitized and born-digital records.

Through an examination of real-world case studies from the UK, US, and beyond, this volume provides significant insights into AI’s role in record management and text and data mining, while addressing issues of trust and risk in automated systems. Designed for heritage professionals, researchers, and information specialists, this book offers a timely guide to leveraging AI while also safeguarding the integrity and accessibility of cultural archives for the future.
 

266 pages | 41 figures, 8 tables | 6.14 x 9.21

Art: Art--General Studies


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Table of Contents

List of figures
List of tables
Glossary
List of contributors
Acknowledgements

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

Part I: The role of AI in preserving and making accessible digitised and born-digital records

1 The National Archives (UK)
Lise Jaillant, Katherine Aske and Annalina Caputo

2 Computer vision and cultural heritage
Catherine Nicole Coleman

3 Machine learning at the National Library of Norway
Javier de la Rosa

Part II: 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 Digital mapping and cultural heritage
Claire Warwick and Katherine Aske

6 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

Part III: Digitised collections and hand-written text: challenges and new methods

7 Distant viewing archives
Lauren Tilton and Taylor Arnold

8 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

10 Afterword: An emergence from winter or summer may be upon us Thomas Padilla

Index

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