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GLOW-Ready (Getting Government Archives GenAI-Ready) Workshop 1
June 18 @ 1:00 pm – 5:00 pm
Location: Online
👉 Read the workshop report: GLOW-Ready Workshops Report
About the project
GLOW-Ready: Getting Government Archives GenAI-Ready for Users is a research project led by Loughborough University, working with partners including The National Archives, the Cabinet Office, PRONI, the National Library of Wales, and the Intellectual Property Office. The project builds on earlier LUSTRE/GLOW projects, which started in 2022.
Government archives hold born-digital records (emails, documents, audio, and video) that are vital for public accountability, historical understanding, and civic participation, yet they remain difficult to access and use at scale. Driven by the rise of generative AI (GenAI), users of these archives increasingly expect conversational discovery, rapid synthesis, and transparent provenance (what a record is, where it came from, and how an answer was produced). Archives and Knowledge and Information Management (KIM) teams need practical, user-informed ways to adapt their services responsibly, while respecting confidentiality, privacy, and other constraints.
To address these issues, the project is running three workshops bringing together archival and KIM professionals with academic researchers, journalists, and public users of archives; producing a practical guidance pack and training materials; and building and testing a secure, citation-grounded, RAG archival discovery prototype.
Who the workshops are for
The workshop will bring together people who use archives (including government archives): academic researchers, journalists, family historians and genealogists, KIM professionals, and anyone with an interest in accessing official records. Speakers are invited because of their direct experiences and insights as users – what they look for, how they look for it, what helps them find it, and what gets in the way.
What the workshops will cover
The workshop will combine keynote addresses, short presentations, roundtable discussions, and structured breakout groups. It will focus on:
- Understanding user needs and expectations
- AI-assisted discovery in practice
- Identifying priorities for AI-assisted government archives
- Issues of trust, transparency, sensitivity, and responsible access
Workshop agenda
13:00 – 13:10 | Welcome and Introduction
Project overview, objectives of the workshop, and structure of the day
Speaker: Prof Lise Jaillant, Loughborough University
13:10 – 13:45 | Session 1: AI-Assisted Archival Discovery in Practice
13:10 – 13:20 Prof Giovanni Colavizza, University of Copenhagen / University of Bologna
Relay: Evidence-Linked Retrieval for Archival Discovery
13:20 – 13:30 Dr Frédéric Clavert, University of Luxembourg
Chatbots as Producers of Archives — the Example of Prompts Referring to the Historical Past

Presentation Slides: Frédéric Clavert-View slides
13:30 – 13:45 Q&A
13:45 – 14:15 | GLOW-Ready Team Presentation
Prof Lise Jaillant, Loughborough University
Dr Matthew Kidd, Loughborough University
Dr Lingjia Zhao, Loughborough University
Dr Haibin Cai, Loughborough University
14:15 – 14:50 | Roundtable Discussion
Dr Kelcey Swain, Cabinet Office
Nicholas Smith, NHS Resolution
Dr Cai Parry-Jones, Ministry of Housing, Communities and Local Government
Matthew Beavis, Department for Education
Prof Helen McCarthy, University of Cambridge
14:50 – 15:00 | Break
15:00 – 15:45 | Session 2: Searching and Using Archives at Scale
15:00 – 15:10 Glen Layne-Worthey, University of Illinois Urbana-Champaign
Beyond Discovery: Scholarly Primitives for Future Research
15:10 – 15:20 Prof Tim Hitchcock, University of Sussex
AI, the User Interface and the Representation of Data
15:20 – 15:30 Dr Christopher R. Roast, Sheffield Hallam University
Interacting with Scale – Believing and Knowing
15:30 – 15:45 Q&A
15:45 – 16:20 | Breakout Discussions
User Expectations and Priorities for AI-Assisted Archives
16:20 – 16:50 | Keynote
16:20 – 16:40 Prof Paul Gooding, University of Glasgow
If you build it, who (or what) will come? The User Studies Gap in AI and Archives Research
16:40 – 16:50 Q&A
16:50 – 17:00 | Closing Remarks