Journal Article: “AI Chatbots and Subject Cataloging: A Performance Test”
The article linked below was recently published by Library Resources & Technical Services.
Title
AI Chatbots and Subject Cataloging: A Performance Test
Authors
Brian Dobreski
University of Tennessee, Knoxville
Christopher Hastings
University of Tennessee, Knoxville
Source
Library Resources & Technical Services
Vol 69, No 2 (2025)
DOI: 10.5860/lrts.69n2.8440
Abstract
Libraries show an increasing interest in incorporating AI tools into their workflows, particularly easily accessible and free-to-use chatbots. However, empirical evidence is limited regarding the effectiveness of these tools to perform traditionally time-consuming subject cataloging tasks. In this study, researchers sought to assess the performance of AI tools in performing basic subject heading and classification number assignment. Using a well-established instructional cataloging text as a basis, researchers developed and administered a test designed to evaluate the effectiveness of three chatbots (ChatGPT, Gemini, Copilot) in assigning Dewey Decimal Classification, Library of Congress Classification, and Library of Congress Subject Heading terms and numbers. The quantity and quality of errors in chatbot responses were analyzed.
Direct to Full Text Article
14 pages; PDF.
About Gary Price
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.
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