Youth Conference
IOAI Canada opens the inaugural Canada AI Youth Conference to all Grade 9 to 12 students from across the country, who are eager to explore the world of artificial intelligence. This conference offers a unique opportunity for students to dive into AI with hands-on experiential learning. Students will attend workshops and compete, individually or in a team up to 4 members, in AI-driven practical and scientific challenges modeled after the International Olympiad in AI. Gift certificates and awards will be given out to the top teams.
Join us to network with like-minded peers, test your knowledge and skills, and take part in shaping the future of AI technology!
2024 Edition
Saturday, May 17, 2025
9:30 am - 5:30 pm
In-person @ Toronto French School (TFS) Senior School
318 Lawrence Ave. East, Toronto, ON
Conference Committee
Committee Heads:
Alan, Qianhao
Committee Members:
Arthur, Bredan, Gavin, Kevin, Mia, Samantha, Sophie, William, Yubo
Volunteers
Guest Speakers
Dr. Colin Hong has nearly 40 years of medical practice experience in Canada, with notable leadership roles as the past President of the Ontario Medical Association’s Plastic Surgery section and former Chief of Plastic Surgery at Rouge Valley Health System. Dr. Hong is also the co-founder and Chief Medical Officer of Skinopathy, a start-up that develops AI-driven solutions for pre-screening skin cancers, garnering global support from the medical community, private sector, and government agencies.
Dr. Haipeng Xie is an adjunct Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. Over the past 27 years, Dr. Xie has joined the development of Canadian Space Robotics Arms, pioneered humanoid robot companion development, led unmanned mobile robot technology development, joined forces with the University of Toronto, Western University, and Canadian Surgical Technologies and Advanced Robotics Center (CSTAR) on medical and clinical intelligent robot development.
Keynote Speakers
Keith Loo is the Chief Executive Officer for Skinopathy. Keith has over 20 years of experience in start-ups and tech businesses, and is an Entrepreneurship Instructor at the Schulich School of Business, York University. Keith is an advisor, mentor and coach to many Data & AI start-ups and scale-ups and has led some of the world’s largest banks, retailers, and telcos to build their Data & AI strategies and Innovation Labs.
Amjad Hassoun is a recent Computer Science graduate from the University of Toronto with a strong interest in artificial intelligence and education. Amjad continues to lead AI initiatives, including a trash detection project, and collaborates with TFS to introduce AI tools and explore their ethical implications. As a former reinforcement learning researcher at Outlier and creator of Q-Tools, an AI-powered Chrome extension for U of T students, Amjad blends technical skill with social impact.
Andrew Magnusson is a current Engineering Science student at the University of Toronto and Co-President of the University of Toronto Machine Intelligence Student Team (UTMIST). At the conference, Andrew will cover topics such as leading an AI-focused club, contributing to real-world machine learning projects, navigating new workspaces, and identifying industry and graduate studies opportunities.
Workshop & Activity
Intro to Machine Learning
In this beginner-friendly workshop, students will explore the basics of machine learning through hands-on activities with decision trees, a powerful and easy-to-understand algorithm used for classification tasks. Students will learn how decision trees work, build simple models using real-world data, and gain insight into how machines make decisions.
Creativity Using Generative AI
Students will have the opportunity to demonstrate their creativity through a variety of hands-on, interactive activities. Students will use the first and last image of a series to produce a short video, generate a comic strip with a compelling storyline, and design a 3D model based on either their own creation or an image found online. Every student’s work will be showcased in a friendly competition.
