AI for Researchers
AI in research, done ethically — where AI genuinely helps (literature discovery, structure, feedback, analysis assistance), where it must not replace you, disclosure norms, and university policies on AI use.
All AI for Researchers guides
9 articles
How to Increase Citations of Your Research Paper (Ethically)
Citations follow findability, readability and reach. The legitimate levers — title and abstract optimisation, ORCID, repositories, review papers, strategic dissemination — and the gaming tactics that end careers.
Zotero vs Mendeley: Which Reference Manager for Your Thesis?
Both will hold your PDFs and format your citations — they differ in openness, storage economics, browser capture and collaboration. An honest comparison for thesis-length projects.
Perplexity vs ChatGPT for Research: Which Assistant for Which Job?
Perplexity searches and cites; ChatGPT (and Claude, Gemini) reason and draft. Confusing the two jobs is how researchers end up with fabricated references. The honest division of labour.
NotebookLM for Researchers: Source-Grounded AI over Your Own PDF Library
NotebookLM answers questions using only the sources you upload — with citations back to the exact passage. Why grounding changes the hallucination equation, and how scholars use it across a thesis.
Scite vs Consensus: Checking What the Literature Actually Says
Two tools for the same scholarly instinct — 'is this claim actually supported?' Scite shows how later papers cite a study (supporting or contrasting); Consensus summarises the literature's answer to a question. When to use which.
Research Rabbit vs Connected Papers: Mapping the Literature Visually
Both tools turn one good paper into a map of the field around it. How each works, where they differ, and the seed-paper workflow that finds the literature keyword search misses.
Elicit for Literature Review: What It Does Well (and Where to Distrust It)
Elicit answers research questions across the academic literature and extracts study details into tables — a genuine accelerator for screening and synthesis, if you treat its output as a draft to verify, not a result to cite.
The Best AI Tools for Research in 2026: An Honest, Ethics-First Guide
Ten AI tools genuinely worth a researcher's time — what each is actually good at, where each fails, and the ethical line that keeps your thesis yours. No hype, no tool worship.
How to Use AI Ethically in Your Research
AI can accelerate real research work — or wreck your integrity. Here's where the line sits, what's allowed, and how to use tools like ChatGPT responsibly.
Put it into practice
Free tools, templates and mentoring connected to ai for researchers.
Frequently asked
Is it allowed to use AI tools in my PhD?+
Policies vary by university and are evolving, but the emerging consensus permits AI for assistance — idea exploration, language polishing, code help — while prohibiting AI-generated content presented as your own analysis or writing. Always check your institution's current policy and disclose use where required.
Can examiners detect AI-written text?+
AI detectors are unreliable in both directions, but examiners read for depth, specificity and consistency with your viva performance — where outsourced writing collapses. The safe and ethical route is using AI as an assistant, never an author.
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