How to Use AI Responsibly in Research

Artificial intelligence is rapidly transforming evidence synthesis but misuse can lead to serious ethical, methodological, and publication risks. This practical guide is designed to help researchers use AI confidently, responsibly, and transparently across the systematic review and evidence synthesis workflow.
This resource clearly explains where AI adds real value and where human judgment is non-negotiable. You will learn how AI can support literature searching, screening prioritisation, data extraction assistance, and writing refinement while avoiding common pitfalls such as hallucinated references, hidden bias, plagiarism, and unethical automation. The guide also provides clear guidance on how to disclose AI use in line with journal and PRISMA expectations.
Written for researchers, clinicians, and students especially in LMIC settings this resource helps you save time without compromising research integrity. If you want to leverage AI while protecting credibility, reproducibility, and publication success, this guide is essential.