The Subcommittee on Teaching and Learning (STL) of McGill’s Academic Policy Committee (APC) established a working group in January of 2023 to develop an approach regarding Generative AI and its impacts on Teaching and Learning.
The five principles emerging from the STL AI Working Group’s final report are reproduced below.
These provide a framework for ongoing conversations about Generative AI at the University in the context of teaching and learning, and can be used as a guide for instructors, students, and staff, and also for Faculties when they consider their own internal guidelines.
McGill’s Principles for the use of Generative AI Tools in Teaching and Learning:
- First principle: The University community will be educated about what generative AI tools are, how they work, and the opportunities and challenges they entail.
- Second principle: University leadership and instructors should ensure that when used, generative AI tools play a positive role in the accomplishment of the academic mission.
- Third principle: As with all approved learning technologies, instructors have autonomy to decide whether they will use an approved generative AI tool for their teaching and assessments.
- Fourth principle: Instructors remain responsible for comporting themselves according to the highest standards of academic integrity in their use of generative AI tools.
- Fifth principle: Students remain responsible for maintaining academic rigour. This involves both verifying the accuracy of information generated and acknowledging the use of generative AI tools, if applicable.
Learn more about the Principles: