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? How are universities regulating faculty contributions to AI models? How much are they themselves doing to develop their own models and applications?
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.
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? How are universities regulating faculty contributions to AI models? How much are they themselves doing to develop their own models and applications?
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.
Survey of Higher Education Faculty 2025, Supplying Content to AI Models
126
Survey of Higher Education Faculty 2025, Supplying Content to AI Models
126Paperback
Product Details
| ISBN-13: | 9798885173087 |
|---|---|
| Publisher: | Primary Research |
| Publication date: | 08/18/2025 |
| Pages: | 126 |
| Product dimensions: | 8.50(w) x 11.00(h) x 0.27(d) |