Research Article: “AI Transparency in Academic Search Systems: An Initial Exploration” (preprint)
The research article (preprint) linked below was recently shared on arXiv.
Title
AI Transparency in Academic Search Systems: An Initial Exploration
Authors
Yifan Liu
University of British Columbia
Peter Sullivan
University of British Columbia
Luanne Sinnamon
University of British Columbia
Source
via arXiv
DOI: 10.48550/arXiv.2408.10229
Abstract
As AI-enhanced academic search systems become increasingly popular among researchers, investigating their AI transparency is crucial to ensure trust in the search outcomes, as well as the reliability and integrity of scholarly work. This study employs a qualitative content analysis approach to examine the websites of a sample of 10 AI-enhanced academic search systems identified through university library guides. The assessed level of transparency varies across these systems: five provide detailed information about their mechanisms, three offer partial information, and two provide little to no information. These findings indicate that the academic community is recommending and using tools with opaque functionalities, raising concerns about research integrity, including issues of reproducibility and researcher responsibility.
Direct to Access Preprint
Filed under: Academic Libraries, Libraries, News
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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.