Move from broad search to a defensible reading list with a repeatable AI-assisted review process.
How this guide helps
This guide on A Practical AI Literature Review Workflow for Researchers helps researchers place AI tools inside a workflow that remains evidence-backed, reviewable, and practical for academic teams.
Recommended workflow
- Define the research question, scope, and screening criteria first.
- Use scholar search to collect candidate papers and preserve evidence.
- Let AI assist with summaries, screening, and comparison while researchers review final conclusions.
During search, preserve candidate papers, queries, and screening reasons so every inclusion or exclusion decision can be reviewed later.
The final reading list should show why each paper was kept and which evidence supports that decision.
FAQs
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