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Generative AI & Higher Ed: Home

A look at how generative AI is being used in higher education by students, staff, and faculty, as well as the policies put in place to direct the use of AI.

Introduction to Generative AI

Generative AI, such as ChatGPT or GoogleBard, is an AI tool powered by a Large Language Model to answer prompts provided by users. Large Language Models are AI systems that are trained using huge amounts of data from sources like books, web pages, videos, and more, to predict the next word in a string of text. Since generative AI is trained on information found on the internet, and information on the internet can be misleading, offensive, false, funny, biased, or true, the answers or work that generative AI creates can also be misleading, offensive, false, funny, biased, or true. It is important to note that generative AI can predict the word that is statistically most likely in a string of text, but it cannot analyze or make a judgement call on the answers it creates.

                                                                  An infographic showing the four steps of the Generative AI process: 1) Input data, 2: Train Generative AI model, 3) Generate new content, 4) Output generated content.

Student Success and Engagement Librarian

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Tristan Draper
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Staying Updated on AI in Higher Ed

Many Higher Education publications feature write-ups on AI in higher education. Check out the following publications for up to date news:

The following resources are complied lists of articles and resources focused on Generative AI in Higher Ed:

Recent Articles About Generative AI

Some recently published articles on Generative AI & ChatGPT:


Generative AI is changing rapidly, so feel free to contact us with suggestions or updates for this guide. You can also contact us to request librarian-led programming on Generative AI that explores ethical uses for generative AI and its limitations. Contact us at