AI Scholarly Search Tools Fall Short Due to Poor Metadata, Librarian Argues
By
Peter Webster
An everything bagel for the brain. Substantive, layered, well-seasoned.
Summary
Peter Webster, a librarian emeritus, critiques AI-powered scholarly search tools, arguing they frequently miss important articles and misinterpret concepts due to incomplete metadata. He contends that AI search cannot yet replace conventional search methods and that better full-text-derived metadata could significantly improve discovery in academic research.
Key quotes
· 4 pulledArtificial intelligence tools for searching scholarly literature are being heavily promoted, and they are rapidly gaining popularity.
However, like many other researchers, I am finding that AI search tools routinely miss important articles and can misinterpret concepts and subjects.
So far, AI search tools are not able to reliably shortcut or replace conventional search methods.
While hallucination is known to be part of the
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