The Artificial Intelligence (AI) Advisory Committee serves as a strategic body to guide the university’s endeavours related to AI, with a focus on generative AI, ensuring a holistic approach that encompasses academic, research, and operational perspectives.
The AI Advisory Committee will report to three co-sponsors, the Provost and Vice-President (Academic), the Vice-President (Research), the Vice-President (Finance and Operations), with membership including: (3) co-chairs (appointed by sponsors) and (3) chairs of the Expert Panels.
AI Advisory Committee Members
Co-Chairs:
- Dr. Matheus Grasselli, Deputy Provost
- Gayleen Gray, Assistant Vice President and Chief Technology Officer
- Dr. Martin Horn, Deputy Vice President, Research
Expert Panel Chairs:
- Dr. Kimberley Dej, Vice Provost, Teaching and Learning
- Dr. Elkafi Hassini, Associate Dean (Research), Business
- Maggie Pooran, Executive Director, Health, Safety, Well-Being & Labour Relations
Expert Panels and Priorities
In support of the AI Advisory Committee, the AI Expert Panels offer specialized expertise in the domains of teaching and learning, research, and operational excellence.
Guided by the Expert Panel chair, members of the Expert Panel work on specific initiatives, make recommendations, offer feedback and input, and identify additional areas of work that may benefit the institution.
Each Expert Panel has a pool of contributors made up of administrators, faculty, staff and student members. Depending on the initiative the Expert Panel is working on, some or all members of the Expert Panel may be involved in completing the specific work. As a result, Expert Panel members will be able to determine what initiatives to contribute to based on their expertise, interest and availability.
Expressions of Interest for new members to join an Expert Panel for 2024-25 will open in fall 2024. Please reach out to macgenai@mcmaster.ca with questions or early consideration.
Mandate
To provide consultative guidance, endorse guidelines and recommendations, and ensure ethical considerations in staff operations involving AI at McMaster University, as well as impact and integration of AI with operational and enterprise tools and processes.
2024-25 Projects and Priorities
- Resources for managers and leaders
- Support for individuals and units interested in implementing an AI tool or solution
- Creation of a repository of use cases of AI tools and solutions at McMaster
- Review of processes and supports for adopting new AI tools
- Collection of experiences and perspectives from staff on the use of AI in work
- Review of existing resources and supports and means of sharing/communicating these resources
Mandate
To provide consultative guidance, endorse guidelines and recommendations, and ensure ethical considerations in research involving generative AI at McMaster University.
2024-25 Projects and Priorities
- Develop provisional institutional guidelines for the use of AI in research activities
- Creation of a repository of use cases of AI tools and solutions at McMaster in and for research
- Develop and recommend resources and professional development that support responsible use of generative AI in research
- Develop a protocol for documenting the use of generative AI in research
- Collection of experiences and perspectives on the use of AI in research
- Dialogues on the role of AI in the future of research
Mandate
To offer consultative insights, endorse guidelines and resources, partner on initiatives, and engage in dialogues related to the ethical and impactful application of AI in the realm of teaching and learning at McMaster University.
2024-25 Projects and Priorities
- Dialogues on the role of AI in the future of teaching and learning
- Recommendations for the undergraduate course management policy related to AI
- Consideration of the specific needs of graduate students and AI
- Collection of experiences and perspectives from educators and students on the use of AI in teaching and learning
- Creation of a repository of use cases of AI tools and solutions at McMaster in and for teaching and learning
- Opportunities for educators and students to discuss generative AI in teaching and learning through communities of practice and instructor panels