Ethical AI and Librarianship

A Resource Guide

LUSTRE

Field Description
Title LUSTRE
Type Projects & Institutions
Creator LUSTRE (Unlocking our Digital Past with Artificial intelligence)
Link
Creation Date 2022
Last Updated Date 2024
Summary LUSTRE (Unlocking our Digital Past with Artificial Intelligence) is a research project (2022–2024) funded by the Arts and Humanities Research Council in UK and led by Prof. Lise Jaillant at Loughborough University. The project aims to connect government professionals with Computer Scientists, Digital Humanists, and professionals in GLAM field (Galleries, Libraries, Archives and Museums) to explore how AI can support the preservation, access and usability of born-digital government records. LUSTRE addresses ethical challenges such as confidentiality, privacy, national security, and copyright in managing digital government records. The project team worked with the UK Cabinet Office, The National Archives, Public Record Office of Northern Ireland (PRONI), etc. The project has delivered 1) Four lunchtime talks and four workshops with presentation slides and recordings available on the project website. 2) An online survey and interviews identifying barriers to unlock potential of digital government records. 3) A special issue in “AI & SOCIETY” examining how AI can enhance the preservation, accessibility, and usability of digital and born-digital archival collections. 4) A network connecting government professionals with academics and GLAM professionals. In particular, articles in the special issue (see Link field) that address ethical concerns include:1) Jaillant, L., Mitchell, O., Ewoh-Opu, E. et al. “How can we improve the diversity of archival collections with AI? Opportunities, risks, and solutions”. 2) Liu, Y., Heitman, C., Soh, LK. et al. “Machine learning methods for isolating indigenous language catalog descriptions”. 3) Arias Hernández, R., Rockembach, M. “Building trustworthy AI solutions: integrating artificial intelligence literacy into records management and archival systems”.
Topic AI and Archive. Digital government records. AI ethics.
Source and Link LUSTRE (Unlocking our Digital Past with Artificial intelligence). https://lustre-network.net/
Access Open
Accessibility Open
Audience Librarians – general. Archivists. Information professionals.
Platform or Format Web
Length --
Geography Europe/USA
Language ENG
Description Date 06/09/2025

Ethical AI and Librarianship: A Resource Guide