Generative AI adds new options to pair with existing Library research databases and services but comes with ethical concerns, legal issues, and technological challenges which can introduce errors into the research process and potentially run afoul of class, campus, and other policies. AI technology and guidelines are constantly evolving, so please consult the guidelines provided by your supervisor, instructor, and publishing journals. This guide describes some of these challenges and promotes ways to effectively incorporate generative AI as part of a well-rounded research plan.
The University of Illinois Urbana-Champaign has one of the largest university libraries in the United States, meaning that you have access to millions of trusted primary and secondary source materials. Our subject specialists can assist with your own research, as well as designing research assignments for classes which reflect our growing understanding of best-use practices for Generative AI.
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Last Updated: March 2024
This page was developed by Celenia Graves, Experimental Learning & Engagement Librarian with support from the following contributors:
This LibGuide was reviewed by the CAPT Library Emerging and Integrated Technologies Coordination (LEITC) and the Center of Expertise on Generative AI (GenAI CoE).
