Large language models, updates, and evaluation of automation tools for systematic reviews: a summary of significant discussions at the eighth meeting of the International Collaboration for the Automation of Systematic Reviews (ICASR)

Annette M. O’Connor*, Justin Clark, James Thomas, René Spijker, Wojciech Kusa, Vickie R. Walker, Melissa Bond

*Corresponding author for this work

Research output: Contribution to journalComment/Letter to the editorAcademicpeer-review

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Abstract

The eighth meeting of the International Collaboration for the Automation of Systematic Reviews (ICASR) was held on September 7 and 8, 2023, at the University College London, London, England. ICASR is an interdisciplinary group whose goal is to maximize the use of technology for conducting rapid, accurate, and efficient evidence synthesis, e.g., systematic reviews, evidence maps, and scoping reviews of scientific evidence. In 2023, the major themes discussed were understanding the benefits and harms of automation tools that have become available in recent years, the advantages and disadvantages of large language models in evidence synthesis, and approaches to ensuring the validity of tools for the proposed task.

Original languageEnglish
Article number290
JournalSystematic Reviews
Volume13
Issue number1
DOIs
Publication statusPublished - 27 Nov 2024
Externally publishedYes

Keywords

  • Automation tools
  • ChatGPT
  • Evidence synthesis
  • Large language models
  • Systematic reviews

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