📢 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 Downie and many others!
Part III – Digitised & Hand-Text Archives
🖼️ 7. Distant Viewing Archives – Lauren Tilton & Taylor Arnold
✏️ 8. Handwritten Text Recognition at the National Library of Scotland – Paul Gooding, Joseph Nockels & Melissa Terras MBE FREng
🗣️ 9. Conversing with the Past: Slavery Advertisements & OpenAI’s LLM – Rajesh Kumar Gnanasekaran, Christopher E. Haley & Richard Marciano
🔮 10. Afterword: An Emergence from Winter or Summer? – Thomas Padilla
This volume offers practical case studies (especially UK’s National Archives & Norway’s National Library), AI techniques (computer vision, LLMs, HTR), and critical reflections on ethics, accessibility & future trails in the heritage sector. 🌟🤔
💡 Thanks to my co-editors and to all contributors for their inspiring work! 🌍📖
The edited collection is a key output of the AEOLIAN project funded by the AHRC in the UK and the National Endowment for the Humanities in the US.
🔗 Download it free now HERE.
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 Downie and many others!
Part III – Digitised & Hand-Text Archives
🖼️ 7. Distant Viewing Archives – Lauren Tilton & Taylor Arnold
✏️ 8. Handwritten Text Recognition at the National Library of Scotland – Paul Gooding, Joseph Nockels & Melissa Terras MBE FREng
🗣️ 9. Conversing with the Past: Slavery Advertisements & OpenAI’s LLM – Rajesh Kumar Gnanasekaran, Christopher E. Haley & Richard Marciano
🔮 10. Afterword: An Emergence from Winter or Summer? – Thomas Padilla
This volume offers practical case studies (especially UK’s National Archives & Norway’s National Library), AI techniques (computer vision, LLMs, HTR), and critical reflections on ethics, accessibility & future trails in the heritage sector. 🌟🤔
💡 Thanks to my co-editors and to all contributors for their inspiring work! 🌍📖
The edited collection is a key output of the AEOLIAN project funded by the AHRC in the UK and the National Endowment for the Humanities in the US.
🔗 Download it free now HERE.