[Eril-l] Primary Research Group Inc. has published the Survey of Higher Education Faculty 2025, Supplying Content to AI Models, ISBN 979-8-88517-308-7

[Electronic Resources in Libraries discussion list]

This study looks at how higher education faculty are supplying content to
AI models.  The study helps its readers to answer questions such as: which
academic fields are supplying the most content to AI models?  How active
are full professors in content supply?  What percentage of faculty feel
that their content is being used without their consent or without
compensation? How much and how often do faculty contribute to private,
commercial AI models vs. University or Professional Association models, or
those developed in conjunction with scholarly peers?  What are university
policies in this area and how will they develop?


Just a few of the many findings of this 124-page report are that


·         4.39% of faculty have already submitted content to train AI
models.

·         Faculty in engineering were the most likely to have already
contributed content to AI models.

·         3.18% of faculty have contributed content to AI models developed
by their own or other universities.

·         27.27% of faculty in communications feel that their content has
been used in an AI model without their permission.


Data in the study is derived from a survey of 660 higher education
faculty.  Results for each question are presented for the entire sample and
for then broken out by more than 18 institutional and personal variables
including but not limited to: gender, age, academic field, ethnicity/race,
academic title, size of college or university, institutional public or
private status and type or Carnegie class of institution.


For a table of contents, the questionnaire and an excerpt – view the
product page for this report at:
https://www.primaryresearch.com/AddCart.aspx?ReportID=854


About Primary Research Group:

Founded in 1989, Primary Research Group is a leading provider of research
reports and surveys on higher education. Our mission is to provide
high-quality, data-driven research to help organizations make informed
decisions and drive innovation.
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