This guide was originally created by Abigail Boorsma and Taylor Brown as part of the Dalhousie Libraries Master of Information internship in summer 2025. Under the supervision of Dalhousie Copyright Librarian, Jaclyn Chambers Page.
Contact your home library for more information on this topic:
Dunn Law Library
Kellogg Health Sciences Library
Killam Memorial Library (Arts & Humanities, Social Sciences, Computer Science, Management, Sciences)
MacRae Library (Agricultural campus)
Sexton Library (Architecture, Planning & Engineering)
or visit during service hours.
Generative AI: A Guide for Dalhousie Students, Faculty, & Staff is licensed under Deed - Attribution-ShareAlike 4.0 International - Creative Commons, unless otherwise noted.
As Generative Artificial Intelligence (GenAI) is rapidly transforming our daily lives, this guide is designed to help Dalhousie's students, staff, and faculty explore resources that go over how to effectively, efficiently, and responsibly, navigate GenAI in their work, teaching, learning, and research.
While we're happy to answer questions about citing GenAI - and to consider adding any additional links you might want to suggest to this guide - please contact the Centre for Learning and Teaching with any other questions about using GenAI in learning and teaching.
Defining GenAI; types of GenAI; GenAI glossaries.
Employee guidelines; Microsoft Copilot; academic integrity; learn & research.
Considerations; impacts; ethical AI assessment tool.
Datasets; hallucinations; cognitive function; when to use GenAI.
GenAI tools; evaluating AI; running a LLM locally; prompt engineering.
GenAI citing; citation managers; APA; MLA; Chicago; Vancouver; CSE.
Syllabus statements; GenAI assessment design; AI detection tools.
Academic integrity; copyright & IP; publisher policies.
Links to further in-depth resources and information on AI.