Created by RIT Libraries, the framework highlights best practices and examples of approaching GenAI in research.
The basic elements of the framework are: know & understand GenAI, use & evaluate GenAI, and library research & discovery with GenAI.
GenAI Literacy Framework for Library Instruction © 2025 by RIT Libraries is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/
Repurposing content from library databases is not allowed. The library has contractual agreements with our vendors which usually includes not uploading library sourced content into third party systems. Please respect the rights of content creators and content distributors.
Best Practices for AI Summarization of Articles:
Most vendors and publishers do not allow content to be uploaded into a third-party system. In addition to following vendor contracts, users should also respect the copyright for creators for both text and images when using GenAI. Only upload items when you know you have permission to do so. It is important to understand the quality of a summary a GenAI tool produces. A true GenAI tool will never give the same response twice. Without reading an item it will be hard to tell if the GenAI Generated summary contains all the relevant points one needs. It can also be hard to tell if the GenAI tool reach out to its training set or the web to enhance the summary.
A few library vendors lease databases to academic institutions have developed GenAI add-ons - either at cost or free. So far the RIT Libraries is not paying for any GenAI add-ons. Below are the databases we have chosen to turn on the GenAI add-on after we vetted out how it works and when results they offer.