This page provides resources for faculty members navigating AI in teaching and research.
If you're looking for guidance on managing AI in your instruction, the Center for Teaching and Learning's page on Artificial Intelligence Guidance is your primary resource for pedagogical strategies and policy guidance.
The library's subject librarians can provide practical guidance to you and your students on AI and research, including:
The core limitations of trying to use general AI chatbots for academic research
An overview of the library's own AI-powered database tools
How to incorporate those library tools (when relevant) as part of a cohesive research strategy
If you are interested, please don't hesitate to reach out to your subject librarian via our Library Liaisons page on the library website.
The previous version of this guide included a list of AI detection tools. We removed this list because growing research demonstrates significant problems with these tools and a detection-heavy approach:
High rates of false positives and false negatives
Bias against non-native English speakers and certain writing styles
Students facing false accusations when original work is incorrectly flagged
We understand faculty concerns about AI misuse in student work. For evidence-based approaches to managing AI in coursework, please consult the Center for Teaching and Learning.

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