This study presents data from approximately 50 directors and other executives of academic libraries about how they are using, and plan to use generative artificial intelligence applications in a broad range of library operations. Distinct and in many cases multiple data sets are presented on the use and impact of generative artificial intelligence in cataloging, special collections management, bibliometrics, open access development, digitization, information literacy, research, data management, personalized content development, chatbox development, image librarianship, predictive equipment maintenance, library data analysis, library public relations and other areas.
Just a few of the findings in this report are:
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In general, the younger the personal age of the respondent the greater the likelihood of using AI in producing public relations materials. 44.44% of respondents under age 40 were doing so vs only 12.5% of those age 60-65.
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Research university libraries were most likely to report increases in productivity due to AI.
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15% of respondents felt that generative AI has had a dramatic or significant positive impact on artificial literacy instruction.
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Public colleges, particularly on the MA/Doctoral level, were most enthusiastic about the impact of AI on special collections management.
Data in the 90-page report is broken out by a range of institutional and personal variables including tuition level, enrollment size, public/private status and college/university type or Carnegie class for institutional variables, as well as personal characteristics such as age and gender of the respondent.