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New guidelines for using GenAI in academic literature reviews

By PulseAugur Editorial · [1 sources] ·

A new paper proposes guidelines, named GUEST, for researchers using generative AI (GenAI) and large language models (LLMs) in systematic literature reviews (SLRs). The guidelines address the challenges of ensuring the rigor, reliability, and transparency required for SLRs, which GenAI tools currently cannot guarantee unsupervised. While GenAI can assist with repetitive tasks and validation, human oversight remains essential for trustworthy systematic studies. AI

IMPACT Provides a framework for researchers to responsibly integrate AI tools into systematic literature reviews, ensuring rigor and transparency.

RANK_REASON The item is an academic paper proposing guidelines for using AI in research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New guidelines for using GenAI in academic literature reviews

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The item is an academic paper proposing guidelines for using AI in research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Barbara Kitchenham, Sebasti\'an Pizard, Lech Madeyski, Ronnie de Souza Santos, Martin Shepperd, David Budgen ·

    Preliminary Guidelines for Using and Evaluating GenAI Tools to Support Systematic Literature Reviews

    arXiv:2607.24991v1 Announce Type: cross Abstract: Context: Generative AI (GenAI) and Large Language Models (LLMs) are increasingly used for academic tasks in software engineering and beyond, including systematic literature reviews (SLRs). However, while capable of summarizing tex…

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