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Home»GSDRC Publications»AI and Rapid Evidence Reviews: Insights from the K4DD Pilot Study

AI and Rapid Evidence Reviews: Insights from the K4DD Pilot Study

Helpdesk Report
  • Brian Lucas,
  • Iffat Idris,
  • Siân Herbert,
  • Sithandiwe Mujuru,
  • William Avis,
  • Zenobia Ismail
June 2026

Question

1 Which AI tools and technologies, including machine learning and large language models (LLMs), could be of use in the production of K4DD products and how?

2 How do tools affect the quality, validity, relevance, verifiability, and speed of the K4DD service?

3 What are the ethical and legal consequences of using AI tools in rapid reviews?

Summary

The Knowledge for Development and Diplomacy (K4DD) programme was commissioned by the Foreign, Commonwealth & Development Office (FCDO) Research and Evidence Division to undertake a pilot of artificial intelligence (AI) research tools and their application in the work of the K4DD programme.

This pilot explored the application of tools across different types of K4DD outputs (namely, evidence summaries, rapid evidence reviews, annotated bibliographies, and emerging issues reports).

The results indicated that AI tools have utility, particularly in the initial ideation stage, but their contribution is currently limited, especially for complex or multifaceted queries. The tools were most useful for supporting subject immersion and familiarisation but were less effective in producing high-quality, valid, relevant, and verifiable information at speed.

This report is based on 20 days of research carried out between October 2024 and March 2025.

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Suggested citation

Avis, W., Ball, K., Cheeseman, K., Georgalakis, J., Herbert, S., Huq, A., Idris, I., Ismail, Z., Lucas, B., Maliakal, S., Morris, J., Mujuru, S., Quak, E., Zaidan, M. (2025). AI and Rapid.

University of Birmingham

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Outputs supported by DFID are © DFID Crown Copyright 2026; outputs supported by the Australian Government are © Australian Government 2026; and outputs supported by the European Commission are © European Union 2026

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