Transforming the Systematic Literature Review With AI Agents

‘System for systematic literature review using multiple AI agents: Concept and an empirical evaluation’ (link to paper) unveils an innovative multi-AI agent model enabling total SLR process automation. The model leans on Large Language Models (LLMs) to offer researchers an efficient and precise tool for literature reviews.

• The model generates a search string from a given research topic.
• It employs an inclusion and exclusion filtering based on title relevance.
• Abstracts summaries are created autonomously by the AI.
• The selected papers undergo a detailed analysis aligned with research questions.

This technique demonstrates AI’s potential to streamline research methodologies and improve the quality of academic studies. By automating the SLR process, AI agents can save researchers invaluable time while ensuring thorough and accurate reviews, pointing towards a possible future where AI is integral in research workflow optimization.