AI Tools for Literature Reviews
Use AI-powered research tools ethically to discover papers, analyze citations, and build comprehensive literature reviews.
Key Principle
AI Tools for Literature Research
Ethically-approved tools that can help you discover and organize academic literature.
Elicit
AI research assistant that finds papers, extracts claims, and summarizes findings
- Limited to academic sources
- May miss recent publications
Semantic Scholar
AI-powered academic search engine with citation analysis
- Can be overwhelming
- Varying quality of AI features
Connected Papers
Visual tool showing paper relationships and connections
- Limited free searches
- No full-text access
Consensus
AI search engine that extracts findings from scientific papers
- Focused on specific question formats
- May oversimplify
Research Rabbit
Free tool for discovering papers and tracking authors
- Smaller database than others
- Less AI sophistication
Inciteful
Citation network analysis tool for discovering important papers
- Learning curve
- Best with seed papers
AI-Assisted Literature Review Workflow
A step-by-step approach to integrating AI tools ethically into your review process.
Define Your Research Question
Start with a clear, focused research question before using any search tools
Initial AI-Assisted Discovery
Use AI tools for broad exploration and identifying key papers
Traditional Database Search
Conduct systematic searches in established academic databases
Citation Network Analysis
Explore connections between papers to find related work
Screening and Selection
Review abstracts and full texts to select papers for inclusion
Full-Text Reading and Analysis
Read selected papers thoroughly and extract relevant information
Synthesis and Writing
Synthesize findings into coherent themes and write your review
Best Practices
Essential guidelines for ethical AI use in literature reviews.
Do
- Document all AI tools used in your methodology
- Cross-reference AI findings with traditional searches
- Read primary sources—don't rely on AI summaries
- Verify AI-extracted claims against original papers
- Use multiple tools to ensure comprehensive coverage
- Keep detailed records of your search process
- Discuss AI tool usage with your supervisor
- Stay updated on your field's AI use guidelines
Don't
- Use AI to write your literature review
- Trust AI summaries without verification
- Skip traditional database searches entirely
- Let AI determine which papers are 'important'
- Use AI paraphrasing for source content
- Fail to disclose AI tool usage
- Assume AI has found all relevant papers
- Use AI to avoid actually reading papers
Documenting AI Tool Usage
How to disclose AI tool usage in your literature review methodology.
Sample Methodology Text:
"The literature search employed a multi-pronged strategy combining traditional database searching with AI-assisted discovery tools. Initial searches were conducted in PubMed, Web of Science, and PsycINFO using predetermined search terms (see Appendix A).
To supplement these searches and identify potentially relevant papers not captured by keyword searching, we used Elicit (elicit.org) for semantic search and Connected Papers (connectedpapers.com) for citation network analysis. All papers identified through AI tools were independently verified against inclusion criteria by [author name].
AI tools were used solely for paper discovery and initial screening; all included papers were read in full by the researcher, and synthesis represents original analytical work."
Frequently Asked Questions
Build Your Search Strategy
Use our free Literature Search Builder to create systematic database queries with Boolean operators.