Artificial Intelligence for Literature Reviews: Opportunities and Challenges
CoRR(2024)
摘要
This manuscript presents a comprehensive review of the use of Artificial
Intelligence (AI) in Systematic Literature Reviews (SLRs). A SLR is a rigorous
and organised methodology that assesses and integrates previous research on a
given topic. Numerous tools have been developed to assist and partially
automate the SLR process. The increasing role of AI in this field shows great
potential in providing more effective support for researchers, moving towards
the semi-automatic creation of literature reviews. Our study focuses on how AI
techniques are applied in the semi-automation of SLRs, specifically in the
screening and extraction phases. We examine 21 leading SLR tools using a
framework that combines 23 traditional features with 11 AI features. We also
analyse 11 recent tools that leverage large language models for searching the
literature and assisting academic writing. Finally, the paper discusses current
trends in the field, outlines key research challenges, and suggests directions
for future research.
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