Abstract
The UK Health Security Agency’s Knowledge and Library Services established an artificial intelligence working group in 2022 to explore the potential applications of artificial intelligence of relevance to its function. This article describes the working group's initial approach to testing and evaluating artificial intelligence and machine-learning-assisted tools for information retrieval and evidence review processes. These include duplicate-reference removal, citation searching, title and abstract screening, full text screening, data extraction and critical appraisal. These exploratory tests have demonstrated varying degrees of potential for implementation, while also contributing to broader discussions on ethical considerations, copyright and licensing issues, the transparency of artificial intelligence methodology, and evidence integrity. Reflecting the exploratory nature of this work, the testing presented in this article focused on identifying potential opportunities and challenges rather than formal validation. This overview outlines the approach taken and insights gained from navigating the evolving artificial intelligence landscape and its potential implications for knowledge, library and evidence services within a public health organisation.
Original language | English |
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Article number | 03400352251342513 |
Journal | IFLA Journal |
DOIs | |
Publication status | Accepted/In press - 2025 |
Bibliographical note
Publisher Copyright:© The Author(s) 2025.
Keywords
- Systematic reviews
- artificial intelligence
- information science
- libraries
- machine learning
- public health