The UTM Library is uniquely suited to support student use of Generative AI (GenAI) through our teaching, assistance at our research and reference desk, and the work of our liaison librarians. Helping students develop GenAI literacy is part of our mission of supporting academic information literacy. We are ready to work with students on:

Prompt Engineering

Teaching effective prompt engineering strategies for better outcomes

Evaluating GenAI Output

Assessing the quality and accuracy of scholarly sources provided by GenAI
Evaluating GenAI content for accuracy and relevancy

Understanding and Selecting Appropriate Tools

Highlighting the differences between GenAI tools, search engines, and databases
Choosing the appropriate GenAI tool and using it ethically and securely
Using Scopus and Web of Science integrated AI tools licensed by U of T

Academic Integrity & Citation

Explaining how and why students need to cite content created by GenAI in their work
Sharing best practices for using GenAI on a marked assessment

Privacy & Security

Cultivating an awareness of the risks in sharing personal, sensitive, or confidential information in GenAI prompts and uploads
Promoting the use of Microsoft Copilot, the U of T enterprise-licensed GenAI tool, and explaining why it’s the recommended choice

Copyright and Intellectual Property

Understanding the risks and potential consequences of sharing or uploading U of T Library licensed materials or the work of others without explicit permission
Finding information about text and data mining (TDM) for U of T licensed material

UTM Library Generative AI Support for Students

How to access

More information

Associated libraries: