Toronto isn't just a top-three global AI hubâit's becoming the center of gravity for AI safety research. The city that helped create modern deep learning is now leading the effort to make these systems trustworthy.
Why Is Toronto a Leader in AI Safety?
The numbers tell a clear story. Toronto hosts 454+ AI companies and raised $408 million in AI funding in H1 2024 aloneâa 31.6% increase over the previous peak. But what sets Toronto apart is how much of this ecosystem focuses on safety and interpretability.
In the 2024 Global Startup Ecosystem Report, Toronto ranked 3rd globally in AI & Big Dataâup from 7th in 2021.
Who Are Toronto's AI Safety Leaders?
Roger Grosse: From Anthropic's Alignment Team to Toronto
Roger Grosse, Associate Professor at the University of Toronto and Canada CIFAR AI Chair, splits his time between academic research and industry safety work. He served on Anthropic's alignment team through summer 2024, bringing frontier lab experience back to Toronto.
His current research focuses on assessing AI safety risks and developing algorithmic approaches to determine if a model is unsafe. At the 2024 Absolutely Interdisciplinary conference hosted by the Schwartz Reisman Institute, Grosse presented novel approaches to understanding different levels of AI risk.
Grosse holds the Schwartz Reisman Chair in Technology and Society through 2029, ensuring Toronto will have a leading safety researcher embedded in its institutions for years to come.
Sheila McIlraith: Pluralistic Alignment and Theory of Mind
Sheila McIlraith, Professor at U of T's Department of Computer Science, received the 2024 CAIAC Lifetime Achievement Award for research excellenceâand was named a 2025 AI2050 Senior Fellow by Schmidt Sciences.
Her research tackles one of alignment's hardest problems: how do we build AI that genuinely considers human welfare?
"The goal is to endow AI with purposeful theory of mind capabilitiesâthe ability not only to better understand the beliefs, desires, and intentions of others, but also to be incentivized to make decisions and to act in consideration of the welfare and agency of others." â Sheila McIlraith, University of Toronto, on her AI2050 Fellowship project
McIlraith's recent papers on "Pluralistic Alignment Over Time" (2024) and collaborative work on "Managing extreme AI risks amid rapid progress" published in Science are shaping how the field thinks about alignment.
Gillian Hadfield: Law, Economics, and AI Alignment
Gillian Hadfield, Professor at U of T's Faculty of Law and Rotman School of Management, brings a unique lens to alignment research. As a Canada CIFAR AI Chair, she was the first Vector-affiliated social scientist named to the program.
Her research draws on economics, cultural evolution, cognitive science, and political science to tackle alignment challenges that purely technical approaches miss. This interdisciplinary work is criticalâAI safety isn't just an engineering problem.
What Makes Toronto's Safety Research Unique?
The Schwartz Reisman Innovation Center
In 2024, Vector Institute moved to the Schwartz Reisman Innovation Centerâa purpose-built hub that co-locates AI researchers with experts in ethics, policy, and society. This physical proximity matters. When safety researchers sit next to capability researchers, the conversations change.
Geoffrey Hinton's Continued Influence
Geoffrey Hinton serves as Chief Scientific Advisor to Vector Institute, while Daniel Roy leads as Research Director. Hinton's public advocacy for AI safetyâincluding his Nobel Prize speech warning about existential risksâshapes the culture of Toronto's AI ecosystem.
Interpretability at Vector
Vector has developed an interpretability framework for generative AI models that gives researchers tools to improve safety. This isn't theoreticalâit's infrastructure that Toronto-based companies can use to build more transparent systems.
How Is AI Safety Research Funded in Toronto?
CIFAR and the Canadian AI Safety Institute
In June 2025, 10 new projects received funding through the CAISI (Canadian AI Safety Institute) Research Program at CIFAR. The program focuses on:
- Synthetic content and its societal implications
- AI alignment research
- Design, development, and deployment of safer AI systems
- Properties of complex AI systems and real-world impacts
- Risk governance frameworks
CIFAR's AI Safety Catalyst Grants specifically support social science and humanities researchers working on AI safetyârecognizing that technical solutions alone aren't sufficient.
The Federal Investment
The $2.4 billion federal AI investment announced in Budget 2024 included dedicated funding for CAISI. Canada is one of few countries with a national AI safety institute coordinating research across its three AI institutes: Vector (Toronto), Mila (Montreal), and Amii (Edmonton).
What Types of AI Safety Work Happens in Toronto?
Technical Safety Research
Governance and Policy
Toronto's AI safety work extends beyond code. The Schwartz Reisman Institute convenes policymakers, ethicists, and technologists. CIFAR's Catalyst Grants fund social scientists researching governance.
Industry Applications
Startups like Cohere (founded by former Google Brain researchers) build NLP tools in Toronto with safety considerations built in. Waabi, Raquel Urtasun's autonomous trucking company, applies U of T's safety research to real-world deployment.
How Can You Get Involved in Toronto AI Safety?
For Researchers
- Apply for CIFAR AI Safety Catalyst Grants (applications typically open annually)
- Connect with Vector Institute for collaboration opportunities
- Attend Schwartz Reisman Institute events on AI governance
For Builders
- Use Vector's interpretability framework for your models
- Join AGI House Toronto meetups to connect with safety-focused engineers
- Attend monthly research talks featuring Toronto safety researchers
For Everyone
Safety-conscious practitioners are first-class citizens in Toronto's AI community. Whether you're building frontier systems or working on applications, the expectation here is that you think seriously about safety.
What Makes AGI House Toronto Different?
AGI House Toronto connects safety researchers with capability researchers. The challenge of building trustworthy AI requires both perspectivesâthose pushing the frontier and those ensuring we don't lose control.
Our meetups feature:
- Research talks from Vector, U of T, and Schwartz Reisman researchers
- Safety discussions on alignment, interpretability, and governance
- Founder sessions for safety-focused startups
The people building dangerous systems and the people trying to make them safe need to be in the same room. That's what we facilitate.
Join AGI House Toronto to connect with Canada's AI safety community. Scan the QR code to join our WhatsApp group or subscribe to our newsletter.
Data current as of January 2026.
