Webinar Recording: “The Academic Library and Artificial Intelligence: Some Possible Futures”
The RLUK (Research Libraries UK) Digial Shift Forum “The Academic Library and Artificial Intelligence: Some Possible Futures” took place on September 15, 2021. A video recording is embedded below.
Slides from the presentation are available here.
The term ‘artificial intelligence’ has many meanings, past and present. In its current guise it has many potential applications in HE. An important aspect of this is the increasing use of data science techniques, such as machine learning, in research across all disciplines: from digital humanities, computational social science through to more obvious applications in the sciences.
As data science skills are increasingly in demand in many sectors of the economy so there is an employability driver for it being taught in many disciplines. There are a number of ways academic libraries are already and could in the future be involved in supporting this activity: such as through providing content, licensing proprietary platforms or participating in academic led support communities. This talk presents the options and offers an analysis of which are most likely, drawing on an understanding of the professional knowledge base, balanced with a sense of wider institutional demands.
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.