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Survey of Academic Library Leadership 2024, Use of Generative Artificial Intelligence

Publisher Primary Research Group
Published Apr 24, 2024
Length 90 Pages
SKU # PF19285339

Description

Survey of Academic Library Leadership 2024, Use of Generative Artificial Intelligence


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:

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.

Research university libraries were most likely to report increases in productivity due to AI.

15% of respondents felt that generative AI has had a dramatic or significant positive impact on artificial literacy instruction.

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.

Table of Contents

90 Pages
Table 1 Is the library using artificial intelligence applications routinely in any of the
following applications? Choose all that apply
Table 1.1.1 Is the library using artificial intelligence applications routinely in any of
the following applications? Predicting demand for library resources
Table 1.1.2 Is the library using artificial intelligence applications routinely in any of
the following applications? Predicting demand for library resources Broken out by
tuition, $
Table 1.1.3 Is the library using artificial intelligence applications routinely in any of
the following applications? Predicting demand for library resources Broken out by
enrollment
Table 1.1.4 Is the library using artificial intelligence applications routinely in any of
the following applications? Predicting demand for library resources Broken out by
public or private college
Table 1.1.5 Is the library using artificial intelligence applications routinely in any of
the following applications? Predicting demand for library resources Broken out by
type of college or Carnegie Class
Table 1.1.6 Is the library using artificial intelligence applications routinely in any of
the following applications? Predicting demand for library resources Broken out by
age of respondent
Table 1.1.7 Is the library using artificial intelligence applications routinely in any of
the following applications? Predicting demand for library resources Broken out by
gender of respondent

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