On October 14, colleagues from across the University of Waterloo will come together for AI Discovery Day, sharing practical experiences, emerging ideas, and responsible approaches to artificial intelligence in teaching, research, and administrative work.
What to expect
AI Discovery Day is open to everyone, from those beginning to explore AI to those already developing, using, or supporting AI-enabled solutions. No previous AI experience is required.
The program will feature short presentations, demonstrations, project showcases, and audience discussions. When registering, you can also suggest a topic, share a project or idea, or express interest in presenting.
The details
Date: Wednesday, October 14, 2026
Time: 8:30 a.m. - 4:00 p.m.
Location: Science Teaching Complex (STC)
Schedule: See morning and afternoon schedules
Note: Lunch is provided for those registered for the event.
The event is full!
But don't worry — you can still register to be placed on a waitlist. If/when a spot becomes available, you will be automatically added to the event.
Event schedules
Morning plenary
| Event | Time | Location |
|---|---|---|
| Registration check-in | 9-9:30 a.m. | STC 1012 |
| Keynote presentations | 9:30-10:35 a.m. | STC 1012 |
| Break | 10:35-10:50 a.m. | |
| Panel discussions | 10:50-11:50 a.m. | STC 1012 |
| Plenary reflections | 11:50 a.m.-12:00 p.m. | STC1012 |
| Lunch | 12-1:00 p.m. |
Afternoon colloquium
- Room A = STC 0060
- Room B = STC 0020
- Quiet room = STC 0040
| Time | Room A — Teaching & Learning | Room B — AI in Practice, Responsibility & Future |
|---|---|---|
| 1:00–1:20 |
Evaluation of an AI-based Virtual Standardized Patient for Pharmacy Education Robin Andrade & Tom McFarlane Project Showcase |
AI Adventures with Slate Jason Santo Demonstration |
|
1:20–1:40 |
An Experiment in AI-Enabled Education: Recentering Students and Professors Victor Cui Project Showcase |
The Student-Lens Agent: AI as Critic, Not an Author Abhay Chopra Project Showcase |
|
1:40–2:20 |
Exploring GenAI-Integrated Learning with Axiom Stephanie Boragina & Rebecca MacAlpine Lightning Talk Bringing Student Perspectives into Waterloo’s GenAI ConversationsAngela Rooke & Elise Vist Facilitated Discussion |
Responsible AI: Perspectives & Practice 4 lightning/provocation talks + moderated discussion A Simple Framework for AI at Waterloo Andriana Vanezi Lightning Talk Resources, Conversations, Culture: CEE's Grassroots Approach to AI Readiness Tonya Elliott Lightning Talk Thirsty, Hungry, and Exhausting: How AI Accelerates Unsustainability Mat Thijssen Provocation Waterloo Region AI Coalition Richard Florizone Lightning Talk Moderated discussion (time permitting) / Q&A |
|
2:20–2:35 |
Break |
Break |
|
2:35–3:35 |
Rethinking First-Year Programming Education When Every Student Has Access to a Coding Agent Carol Hulls Workshop |
AI at Waterloo: Tools, Content & the Future No shortcuts: a human-first approach to content and information architecture in the age of AI Joe Kwan Lightning Talk You Have a Task. Which Copilot Should You Use: Chat, Researcher or Analyst? Gwendoline Nubila Lightning Talk Why the Wise Turtle Needed a Fox: A Jungle Fable on LLM Model Training and RAG Shah Chandon Demonstration Moderated discussion / Q&A |
|
3:35–3:55 |
AI Learning in Motion: Preparing Students for an Evolving Workplace Erin Jobidon Project Showcase |
AI Beyond the Classroom: Insights from Co-op Students in the Workplace Katie Knapp, Justin Kieffer & Tonya Elliott Project Showcase |
|
3:55–4:00 |
Transition / close |
Transition / close |
Speaker and session details
Title: Bringing Student Perspectives into Waterloo’s GenAI Conversations
Presenters: Angela Rooke and Elise Vist
Talk format: Facilitated Discussion
Description: Waterloo students have told us that the increasing use of GenAI is creating uncertainty, mixed messages, and concerns that classrooms are becoming more centred on suspicion than learning. Yet students' questions and worries about GenAI are rarely considered in institutional conversations about these new technologies. This session will bring student perspectives into Waterloo’s GenAI conversation by sharing what we are hearing from students, the academic support units developed in response, and the gaps that still remain. We will explore how people who meet, teach, and interact with students can better centre student experiences while continuing to foster learning and trust. Learning outcomes include understanding key themes about GenAI that emerged from interactions with students over the past year, learning about current student-facing GenAI support initiatives, and identifying opportunities to build more student-centred, non-judgmental conversations about GenAI.
Title: Why the Wise Turtle Needed a Fox - A Jungle Fable on LLM Model Training and RAG
Presenter: Shah Chandon
Talk format: Demonstration
Description: Explaining RAG in a fun way, contrasting it to model training.
Title: A Simple Framework for AI at Waterloo
Presenter: Andriana Vanezi
Talk format: Lightning Talk
Description: As AI adoption accelerates across the University, questions about data use, privacy, security, and institutional responsibilities are becoming increasingly common. This lightning talk shares a practical approach to assessing AI use cases, navigating requirements, and using AI tools with confidence. Participants will leave with a simple decision-making model they can apply in their own work.
Title: AI Adventures with Slate
Presenter: Jason Santo
Talk format: Demonstration
Description: Slate by Technolutions is a CRM and relational database used for strategic enrolment management, including applications, admissions, marketing, and recruitment. At the University of Waterloo, Slate has two instances: one for Graduate Studies, managed by GSPA and IST Student Systems, and one for Undergraduate Studies, managed by the Registrar's Office and IST Student Systems. Slate includes AI-powered tools that function as a developer assistant. In GSPA, we've been testing Slate AI for use cases such as UI development and dashboard creation. This session will demonstrate some of our successes, challenges, and opportunities, presented by a GSPA Graduate CRM Specialist in Marketing & Recruitment.
Title: Thirsty, Hungry, and Exhausting: How AI Accelerates Unsustainability
Presenter: Mat Thijssen
Talk format: Facilitated Discussion
Description: Mat will share how the current buildout of AI infrastructure is impacting water, energy, and supply chains globally, derailing significant progress needed for climate action and energy resiliency, directly and indirectly. He will pose questions for attendees on how, and if, it is possible to layer sustainability considerations into the development of AI technologies, and what that means for Waterloo.
Title: Evaluation of an AI-based Virtual Standardized Patient for Pharmacy Education
Presenters: Robin Andrade and Tom McFarlane
Talk format: Project Showcase
Description: Students face challenges applying pharmacy concepts to patient care environments, often falling short of preparing them for clinical scenarios. Standardized patients are trained to portray a patient role, assess clinical skills, and provide feedback on student performance. Pharmacy students request more opportunities to practice with standardized patients to improve clinical and communication skills; however, challenges such as time, budget, and class sizes limit in-person practice. Introducing AI-driven Virtual Standardized Patients can enable students to engage in realistic patient interactions, mitigating some of these barriers.
Title: An Experiment in AI-Enabled Education: Recentering Students and Professors
Presenter: Victor Cui
Talk format: Project Showcase
Description: Astelle is a cross-disciplinary University of Waterloo initiative that explores how generative AI can support personalized learning while keeping both students and professors at the centre of the educational experience. Developed through the Teaching Innovation Incubator and involving faculty from multiple disciplines, the project uses a digital twin approach to provide students with tailored course support, feedback, and learning pathways. Astelle is designed to help instructors better understand student needs, reduce repetitive administrative tasks, and adapt teaching in real time, with the goal of creating more engaging, responsive, and student-centred learning environments.
Title: No shortcuts: a human-first approach to content and information architecture in the age of AI
Presenter: Joe Kwan
Talk format: Lightning Talk
Description: We're in the middle of the most significant change in how users find and consume information since the iPhone was released. We are putting serious thought around how best to support our campus content creators, who are now faced with the challenge of creating information for real people that also needs to be citation-optimized and discoverable by AI. Find out how we're thinking about tackling this challenge and share your thoughts about what's important to you as a web content creator.
Title: Resources, Conversations, Culture: CEE's Grassroots Approach to AI Readiness
Presenter: Tonya Elliott
Talk format: Lightning Talk
Description: Many staff are wrestling with competing feelings surrounding AI: curiosity and skepticism, excitement and concern, possibility and responsibility. This lightning talk highlights CEE's grassroots approach to AI readiness, including staff-created resources, themes emerging from monthly drop-in sessions, and conversations with managers about culture and change. We'll share what's worked, what's surprised us, and practical ideas that other units might adapt for their own teams, all while exploring the overarching question of what it means to have a healthy relationship with AI.
Title: AI Beyond the Classroom: Insights from Co-op Students in the Workplace
Presenters: Katie Knapp, Justin Kieffer and Tonya Elliott
Talk format: Facilitated Discussion
Description: As AI becomes more embedded in both our classrooms and workplaces, Waterloo co-op students are encountering mixed and sometimes contradictory messages about it. Drawing on recent Work-Learn Institute research, we'll explore findings showing that AI use is extremely common during co-op work terms, that students have nuanced views about its role in their work, and that much of the guidance they're following comes from informal workplace conversations rather than academic courses or formal workplace training. Together, we'll discuss what these findings reveal about the evolving role of AI within Waterloo's co-op ecosystem.
Title: AI Learning in Motion: Preparing Students for an Evolving Workplace
Presenter: Erin Jobidon
Talk format: Project Showcase
Description: As AI technologies continue to evolve, so do the skills students need to use them effectively and responsibly. This session highlights CEE's efforts to support AI readiness through student-focused programming designed to bridge classroom learning and workplace expectations. We'll share works in progress as well as lessons learned and student feedback from recent pilots focused on developing AI-related skills in an environment where both the technology and the workplace are constantly in motion.
Title: Rethinking First-Year Programming Education When Every Student Has Access to a Coding Agent
Presenter: Carol Hulls
Talk format: Workshop
Description: AI-assisted coding is challenging the purpose, knowledge and skills taught, and structure of introductory programming courses. Students are questioning why they need programming fundamentals, and assessment is a challenge, as instructors can no longer assume unsupervised work reflects a student’s own knowledge and skills. This facilitated, participatory discussion will bring together instructors to identify essential learning outcomes and promising approaches to code comprehension, testing, debugging, practice, assessment, oral verification, and responsible AI use. The goal is practical direction for upcoming course redesign and the beginnings of a community of practice, rather than a general debate about the impact of AI.
Title: The Student-Lens Agent: AI as Critic, Not an Author
Presenter: Abhay Chopra
Talk format: Project Showcase
Description: Our Curriculum Development team designs learning for thousands of students across a variety of work-integrated learning contexts, but student feedback can be challenging to engage throughout the process when working at high volumes. The Student-Lens agents were built in Microsoft 365 Copilot and grounded in 12 WEA student interviews and 9,902 PD course survey responses. Now, as curricular materials are being created, the student lens can be engaged at any stage: each draft can be read the way a specific student would read it, with flags for where real student voice would provide valuable insights. This session will share what worked, what didn't, and how this approach can be transferable to other contexts.
Title: You Have a Task. Which Copilot Should You Use: Chat, Researcher or Analyst?
Presenter: Gwendoline Nubila
Talk format: Lightning Talk
Description: Microsoft Copilot offers different capabilities for different kinds of work, but users may not always know when standard Copilot Chat is sufficient or when a specialized agent is required. This lightning talk will compare Copilot Chat, Researcher and Analyst using practical university work scenarios. It will explain what information each can access, how Microsoft Graph grounding changes the experience, what Researcher and Analyst add, and how to match Copilot capabilities and licensing to the work users need to perform. The session will also highlight the importance of permissions, source quality and human oversight when using AI with organizational information.
Title: Waterloo Region AI Coalition
Presenter: Richard Florizone
Talk format: Lightning Talk
Description: The Waterloo Region AI Coalition (WRAIC) brings innovators, businesses and non-profits together to turn AI potential into real productivity, keeping talent and opportunity in Waterloo Region.
Title: Exploring GenAI-Integrated Learning with Axiom
Presenters: Stephanie Boragina and Rebecca MacAlpine
Talk format: Lightning Talk
Description: Sharing the UW tool Axiom that is currently being piloted to explore activity and assessment opportunities that are possible in a GenAI-integrated learning environment.