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 unlock historically significant digital records, by David Canning (UK Cabinet Office) and myself;
- Developing computer vision and machine learning strategies: Innovative approaches to unlock government-created records, by Greg Jansen & Richard Marciano;
- Improving the diversity of archival collections with AI: Opportunities, risks, and solutions to ensure equitable representation, by myself and my wonderful team!
📖Explore the full collection here: https://link.springer.com/collections/eabccfhhbd
This special issue is an essential resource for anyone interested in how AI can shape the future of archives, data, and cultural heritage. Join the conversation and discover how cutting-edge research is connecting policy makers, computer scientists, digital humanists, and GLAM professionals.
Learn more about the LUSTRE project here: https://lustre-network.net/