Make use visible.
Residents should know where AI is used, for what purpose, who owns the decision, what data is involved and how to request review.
The Human-Centred Intelligent City
Make Toronto the world's leading city for human-centred AI and robotics.
The goal is not the most racks or the fastest automation. It is the best public value: capability that reaches people, trusted governance, useful physical AI, strong companies and human authority.
AI & Human Opportunity · One connected plan — better everyday life, more human capability, stronger civic capacity, better infrastructure and environmental stewardship all serve the same goal: a better life for people and a healthier future.
See how it connects →North-star rulePUBLIC AI REGISTRY INTELLECTUAL LIFEBOAT
AI assists. People decide.
Consequential public authority stays human, reviewable and accountable. AI can retrieve, compare, draft, simulate and identify anomalies. It does not become legitimate merely because its output looks precise.
Preserve civic memory.
Surface precedent, law, cost, accessibility, alternatives, failure modes and jurisdiction before consequential decisions.
Toronto AI Transition Compact
Prepare before disruption becomes crisis.
The base case assumes neither mass unemployment nor zero disruption.
Track the leading indicators.
Youth jobs, wages, hours, adoption, displacement, redeployment and vendor concentration.
Keep humans where dignity matters.
Empathy, trust, safety and democratic legitimacy can require meaningful human presence.
Protect first work.
Co-ops, apprenticeships, first credits and supervised pathways are civic infrastructure.
Train before displacement.
Paid training and redeployment where municipal automation changes work.
Preserve relationships and critical thinking.
No dependency-oriented City-sponsored child AI and no replacement for required human care.
Defend water, transit and services.
AI-enabled cyber defence, provenance protocols and human-controlled shutdown.
Smallest useful compute
Use the least infrastructure that produces the accepted result.
Edge devices, workstations and shared local clusters come before hyperscale. Physical AI requires local inference, simulation, safety interlocks and a human stop.
Housing, hospitals, TTC, water, cooling centres and resilience get electrical headroom before export-oriented hyperscale compute on constrained infrastructure.
AI capital by example
Leadership is an outcome of useful, trusted application.
Toronto should become a global centre for human-centred AI by showing that intelligence can improve public services, housing, health, learning, creativity and business while people remain responsible for consequential decisions.
See the visual platform →
Build the campaign
Help build Toronto That Works.
A serious citywide campaign needs people, resources and neighbourhood support to reach voters across Toronto.
Show support where you live and help build visible momentum.
Order a sign →Residents, community leaders, artists and organizations can add their support.
Submit an endorsement →Bring neighbours together and help the campaign listen across Toronto.
See events →Receive announcements, policy releases and ways to take action.
Join the list →The workforce side of responsible AI
Human governance includes the transition at work.
Responsible AI is not only about privacy and risk. It also means watching what happens to jobs, entry-level pathways and worker capability as adoption scales.