This report looks at how higher education faculty are using support services offered by their academic libraries on the use of artificial intelligence in teaching and research. The study provides specific data points on use of academic library seminars/webinars in this area, dedicated listservs, AI subject specialist librarians, specialized blogs, LibGuides, web pages, and specialized machine learning sites, among other tools.
The report also gives data on faculty satisfaction with academic library services in this area, and expectations for the future. The study helps its readers to answer questions such as: how are academic libraries supporting faculty interest in artificial intelligence? How are academic libraries shaping their efforts in this area? What resources are they putting into this emerging area? How are faculty responding to these efforts? What are they looking for in the future?
Just a few of this 128-page report’s many findings are that:
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8% of faculty say that a dedicated AI librarian is available to them.
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15.7% of tenured professors say that their libraries provide help in developing particularly effective artificial intelligence prompts.
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Older faculty are the most supportive of library efforts to help faculty use artificial intelligence; younger and mid-career faculty are more critical.
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Engagement with library listserv posts about AI are highest among fine arts and communications faculties.
Data is based on a survey of 660 higher education faculty broken out by numerous personal and institutional variables enabling readers to pinpoint differences in attitudes and policies towards AI by variables such as gender, ethnicity, academic field, academic title, college type, college size and many other characteristics.