AI Training and Resources
AI Training and Resources
Generative Artificial Intelligence Leadership Task Force Report
On this page:
Generative artificial intelligence in learning and teaching at TMU | TMU Google AI tools help centre | YSGPS guidance on the use of generative artificial intelligence (GAI) in graduate studies | FAQs: Academic integrity and AI use at TMU | AI community-of-practice | Artificial intelligence fluency badges / Navigating GenAI module project | CELT AI workshop series | Generative AI and research integrity eLearning module | HR GenAI guidelines & FAQ | Privacy and security assessment framework | Office of General Counsel and Board Secretariat (GCBS) internal guidelines on generative AI use | Information handling guidelines | Driving results with AI
CELT maintains this resource website as a key repository for supports and resources relating to AI in learning and teaching. This includes written guides, video tutorials, access to a community-of-practice, consultations, workshops, and events. It also hosts Principles and Guidelines for Generative AI in Learning and Teaching, a resource developed by the Senate Learning & Teaching Committee.
CCS has developed this resource to support all TMU community members with access to AI tools available through our institutional Google Workspace license including Google Gemini and Google NotebookLM. It includes information about data privacy, responsible use guidelines, practical use guides, and FAQs.
The Yeates School of Graduate and Postdoctoral Studies has established guidance addressing common questions and concerns about the use of generative AI in graduate student scholarship, research, and creative activities. The guidance aims to support graduate students, supervisors, committees, program directors, and faculty involved in graduate education.
(google doc) This resource (external link) was developed by the Academic Integrity Office to support students and faculty/contract lecturers address common questions about AI and the university’s Senate Policy 60 on academic integrity.
The Academic Integrity Office maintains an email listserv group as a (google form) community-of-practice (external link) for faculty/contract lecturers and staff focused on AI.
TMU Libraries offers a synchronous online badge workshop program to all TMU community members focused on the development of four AI competencies: delegation, description, discernment, and diligence. TMU Libraries is currently working on the Navigating GenAI Module Project with The Chang School on the development of an asynchronous version of these workshops built in D2L for seamless integration into courses where the instructor chooses to adopt. This will be rolled out to a small group of Chang School courses in the 2026/27 academic year and may serve as a potential model for wider adoption.
CELT offers ongoing workshops addressing different aspects of AI in learning and teaching. Past workshops are archived and available online.
The Office of the Vice-President, Research & Innovation (OVPRI) offers an eLearning module focused on generative AI and research integrity. This complements existing training on research integrity offered by OVPRI.
Internal guidance, use cases, and prompt libraries developed by Human Resources for initial departmental governance.
The existing process of conducting individual privacy and security reviews for new applications, incorporating targeted assessments of AI utilization.
Internally developed guidelines in GCBS based on guidance from external legal authorities.
Financial Services' application of the university's core Information Classification Standard and Handling Guidelines to departmental data structures.
A professional development learning opportunity for TMU leaders offered by the Talent Management Centre of Expertise (TMCoE) in HR focused on using Google Gemini for productivity.