AI Engagement Framework

The Artificial Intelligence Engagement Framework builds on the guiding principles developed by the AI Advisory Group in 2024 and 2025. With an overall goal of facilitating cross-sector knowledge-sharing, collaboration and integration, the advisory group was mandated by the Provost to encourage broad and inclusive exploration and learning about AI within and across university sectors, identify key issues and opportunities and provide input to senior leadership on needed roles, mandates or governance.

Convened by the Provost, the Artificial Intelligence Engagement Framework consists of a steering committee and seven community-specific working groups.

The steering committee guides the overall project and will oversee the working groups’ deliverables. It will receive recommendations from the working groups, engage with other stakeholder groups on their feasibility and build a coherent plan for a university-wide AI engagement. 

Specifically, the steering committee will develop: 

• A sustainable governance structure for AI engagement 
• Recommendations related to the ethical use of AI tools 
• Strategies for addressing sustainability issues related to AI use. 

It is also responsible for determining resourcing requirements for the recommendations. 

Steering committee members: 

• Amy Buckland, University Librarian
• Anne-Marie Croteau, Dean, John Molson School of Business
• Philippe Delisle, Associate Vice-President, Information Systems and CIO
• Jason Ens, Executive Director of Academic Policy, Planning, and Strategic Initiatives, Office of the Provost
• Brad Nelson, Deputy Provost and Vice-Provost, Student Life and Experience
• Fenwick McKelvey, Associate Professor, Communication Studies 
• Charis Poullis, Professor, Computer Science and Software Engineering,  Associate Dean, School of Graduate Studies and Special Advisor to the Provost, Artificial Intelligence

The working groups will engage Concordia faculty, staff and students in examining the impact of AI across teaching, research, university operations and governance. 

Based on their examination and consultation with community members, the working groups will recommend priority actions.

Each working group is tasked with:

• Gaining a shared understanding of the state of AI in its area of interest

• Recognizing opportunities, challenges and flagging urgent concerns related to AI

• Identifying university policies and procedures that require updating

• Developing a list of priorities and timelines, with a focus on recruitment and retention where relevant

• Delivering recommendations to the steering committee

Seven working groups bring together expertise from across the university to examine the impact of AI in key areas of academic and institutional activity. Chairs for each working group will be named at a later date.

Working groups will meet during the winter of 2026-2027 and submit their recommendations to the steering committee in April 2027. 

The recommendations will be shared here in spring 2027.

The steering committee will develop a plan based on the recommendations. The plan will prioritize recommended actions and evaluate concerns related to ethics and sustainability and serve to develop a proposed governance structure.