Journal Article: “Perceptions of Artificial Intelligence: A Survey of Academic Librarians in Canada and the United States”
The article linked below appears in the January 2021 issue of The Journal of Academic Librarianship.
Perceptions of Artificial Intelligence: A Survey of Academic Librarians in Canada and the United States
The Journal of Academic Librarianship
This study aims to evaluate the perceptions of librarians with regard to artificial intelligence in academic libraries. An online survey of 24 questions was distributed through library distribution lists in Canada and the United States at the end of the summer in 2019. Findings suggest that librarians do not agree on a definition of artificial intelligence which is in keeping with this emerging field. The survey responses highlight the fact that academic librarians require more training with regard to artificial intelligence and its potential applications in libraries. Other important implications include a recognition that library patrons are interested in AI and that little to no programming about it has been offered in academic libraries. Very few studies have focused on academic librarians’ perceptions of AI. This article highlights some useful practical implications for AI technologies in libraries and how AI could help improve library services and workflows.
Direct to Full Text Article
Direct to Full Text Article (PDF)
11 pages; PDF.
Filed under: Academic Libraries, Libraries, News, Patrons and Users
About Gary Price
Gary Price (firstname.lastname@example.org) 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. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.