This policy applies to:
- Trainees enrolled in undergraduate and graduate programs as well as postdoctoral fellows within the FoM, working on any degree-related requirements or research activities.
This policy does not apply to trainees in the undergraduate medical education program as well as to students in the undergraduate Doctor of Pharmacy program (PharmD). - Course coordinators and instructors responsible for setting and enforcing AI policies in syllabi and Brightspace sites.
- Thesis Supervisors, Thesis Advisory Committee (TAC) members, Comprehensive and Transfer Examination Evaluators and Internal Thesis Examiners who oversee or evaluate thesis-related requirements.
- All trainees who conduct their academic work (e.g., thesis, research projects, coursework, or fellowships) at affiliated hospitals and research institutes. Note that these trainees may also have additional AI/LLM guidelines established by those centers or institutes. If it is the case, both sets of guidelines should be respected.
The term “AI/LLM” in this policy includes any software or online service that uses AI technologies to generate, create, transform, or analyse content, such as but not limited to text (e.g., ChatGPT, Bard, Claude, Copilot), code (e.g., ChatGPT, GitHub Copilot), images (e.g., DALL·E, Midjourney), audio (e.g., ElevenLabs, Murf.ai), video (e.g., Veo 3, descriptive transcript generators), slides (e.g., Copilot), data-mining and statistical analysis tools, or domain-specific AI applications based on LLM architectures.