AI Tools Researchers Should Consider (and How to Use Them Safely)
AI tools can support different stages of the research and writing process—but only when their roles are clearly defined. Below is a curated list of commonly used AI tools in academia, along with guidance on what they are best used for and where human oversight remains essential.
1. Paperpal
Best for: Academic language editing, clarity, and journal-ready writing
Paperpal is designed specifically for researchers and academic manuscripts. It helps improve grammar, sentence structure, and academic tone while keeping the original scientific meaning intact. Because it is trained on scholarly content and aligned with journal expectations, it is particularly suitable for polishing drafts before submission.
Use with care:
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Review all edits to ensure scientific intent is preserved
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Do not rely on it for generating content or references
2. ChatGPT (or similar general-purpose LLMs)
Best for: Brainstorming, outlining, rephrasing, and simplifying text
General-purpose language models can be useful for early-stage thinking, restructuring paragraphs, or improving readability—especially for researchers writing in a second language.
Use with care:
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Avoid using it to generate citations, interpretations, or factual claims
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Treat outputs as drafts, not final text
3. Grammarly
Best for: Grammar, punctuation, and readability checks
Grammarly is widely used for surface-level language correction and can help catch errors that slip through manual reviews.
Use with care:
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Academic nuance and discipline-specific language may require manual correction
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Always prioritize field-appropriate terminology over stylistic suggestions
4. Elicit
Best for: Literature discovery and question-driven paper exploration
Elicit helps researchers find relevant papers and extract key information based on research questions. It can be useful for orienting yourself in a new topic area.
Use with care:
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Always verify findings directly from the original papers
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Do not rely on summaries alone for literature reviews
5. Scite
Best for: Understanding how papers are cited
Scite categorizes citations based on whether they support, contrast, or simply mention prior work, helping researchers assess citation context more carefully.
Use with care:
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Citation context should supplement—not replace—your own reading of the paper
6. Zotero (with AI-enabled features)
Best for: Reference management and organization
Zotero remains a core tool for managing citations, PDFs, and notes. Its newer AI-supported features can help with tagging and organization.
Use with care:
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Reference accuracy still depends on correct metadata entry
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Always check formatted citations before submission
7. Scholarcy
Best for: Breaking down long papers into structured summaries
Scholarcy can help extract sections such as methods, results, and key findings, which can be useful during initial screening of papers.
Use with care:
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Summaries may miss nuance or limitations
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Use only as a starting point, not a substitute for full reading
A Final Note on Tool Selection
No single AI tool is sufficient—or safe—on its own. Effective research workflows combine:
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Human judgment for scientific reasoning
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AI assistance for efficiency and clarity
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Manual verification for accuracy and integrity
Used thoughtfully, these tools can reduce workload and language barriers. Used uncritically, they can introduce avoidable risks. The responsibility for scholarly accuracy ultimately remains with the researcher.
