Should photographs depicting colonial violence, humiliation or other sensitive subjects be made publicly accessible? Or should archives restrict access to protect the dignity of those represented and their descendants? These are difficult questions for archivists, historians and cultural heritage professionals. Hiding sensitive photographs risks concealing important evidence of colonial violence. But making them freely available online, without adequate warnings or contextual information, can cause further harm. Can Artificial Intelligence (AI) help us find a better balance? I am pleased to share our new open-access article, Should sensitive archival images be shown? The case for applying AI to colonial archives , co-authored with Matthew Kidd and Lingjia Zhao and published in Archival Science (2026). What did we discover? We interviewed 15 professionals working in galleries, libraries, archives and museums across the UK and continental Europe. We also tested Google's Cloud Vision...
📢 Just published! 🎉🤖📚 I’m excited to share the publication of Navigating Artificial Intelligence for Cultural Heritage Organisations, just published by UCL Press *OPEN ACCESS*. 🌐✍️ This groundbreaking collection brings together leading voices from libraries, archives, museums, digital humanities, and computer science to explore how cutting-edge AI and machine learning are reshaping cultural heritage. The 10 chapters cover: Part I – AI for Preservation & Access 📜 1. The National Archives (UK) – myself, Katie Aske & Annalina Caputo 🎨 2. Computer Vision and Cultural Heritage – Nicole Coleman 📖 3. Machine Learning at the National Library of Norway – Javier de la Rosa Part II – Text, Images & AV Archives 🎥 4. Preservation to Access: AI in Audio‑Visual Archives – Julia Noordegraaf & Anna Schjøtt Hansen 🗺️ 5. Digital Mapping & Cultural Heritage – Claire Warwick & Katie Aske 🛠️ 6. AI at HathiTrust Research Center – Glen Layne-Worthey, J. Stephen Do...