The Automation of Science? Possibilities and Boundaries of AI Applications for Conducting Systematic Literature Reviews

Science automation, driven by advanced technologies, such as artificial intelligence (AI), is reshaping research in a variety of disciplines. The exponential growth of publications increases the need for automation in systematic literature reviews (SLRs). In this study, we investigated how AI applications support SLRs at different stages. After evaluating twenty-two AI applications, we identified the most useful based on their functionalities in the SLR process. This study provides important insights into the dynamic interplay between science automation, AI, and a systematic literature review. The main contribution is the identification and discussion of the relevance of the analyzed applications at different stages of the systematic literature review. We also discuss the potential for the automation and augmentation of research activities to address various scientific problems.

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Publication Details

Journal
International Journal of Artificial Intelligence Tools
Published
2024-09-01
DOI
https://doi.org/10.1142/s0218213024500234
Citations
4
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.11
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article

The Automation of Science? Possibilities and Boundaries of AI Applications for Conducting Systematic Literature Reviews

Tymoteusz Doligalski, Philipp Brüggemann, Przemysław Tomczyk
4 citations
International Journal of Artificial Intelligence Tools
Big Data and Business Intelligence
2.11
article

The Automation of Science? Possibilities and Boundaries of AI Applications for Conducting Systematic Literature Reviews

Tymoteusz Doligalski, Philipp Brüggemann, Przemysław Tomczyk
article en
4 citations

Abstract

Science automation, driven by advanced technologies, such as artificial intelligence (AI), is reshaping research in a variety of disciplines. The exponential growth of publications increases the need for automation in systematic literature reviews (SLRs). In this study, we investigated how AI applications support SLRs at different stages. After evaluating twenty-two AI applications, we identified the most useful based on their functionalities in the SLR process. This study provides important insights into the dynamic interplay between science automation, AI, and a systematic literature review. The main contribution is the identification and discussion of the relevance of the analyzed applications at different stages of the systematic literature review. We also discuss the potential for the automation and augmentation of research activities to address various scientific problems.

International Journal of Artificial Intelligence ToolsVol. 33(06)
Kozminski University (PL), FernUniversität in Hagen (DE), SGH Warsaw School of Economics (PL)
Quality Education
Openalex Percentile: Top 10%
Big Data and Business Intelligence
2.11
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