On the Use of a Large Language Model to Support the Conduction of a Systematic Mapping Study: A Brief Report from a Practitioner's View
AI is transforming academic research, but the hidden costs are huge...
Deep Dive
A new study details using a Large Language Model to conduct a systematic mapping study, a core academic research method. Researchers reported a significant reduction in time for repetitive tasks and greater standardization in data extraction. However, they faced considerable effort building reliable prompts, dealing with hallucinations, and needing constant manual verification, which can offset the expected time savings, especially for less experienced users.
Why It Matters
This provides a crucial reality check for academics and enterprises looking to automate evidence synthesis at scale.