I am very pleased to share that the special issue on "When data turns into archives: making digital records more accessible with AI" has just been published in AI & Society ! Developed as a key output of the LUSTRE project—funded by the Arts and Humanities Research Council (AHRC)—this collection addresses the unique challenges and opportunities AI offers in unlocking archival data within the government sector and beyond. The articles in this issue provide new interdisciplinary theoretical interpretations, apply research methodologies to diverse case studies, and explore the current and future role of AI in working with data and digital archives. Contributions span digital humanities, archival studies, cultural heritage studies, critical data studies, and computer science, with insights from both established experts and early-career professionals. Highlights of this special issue include the following articles: AI to review government records: New work to ...
I am delighted to announce that we have submitted the complete manuscript of the edited collection Navigating Artificial Intelligence for Cultural Heritage Organisations . *UPDATE* The book will be published by UCL Press in 2025. Pre-order it HERE . Here is the table of contents: Introduction 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. 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 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 an...