Community governance / AI inclusioninclusive AI commons and localized dataParticipation documented
Localizing AI: Community-based AI Development
Montreal, Canada
Official materials describe a community-led design process with immigrant and asylum-seeking communities and the co-creation of an adapted prototype for local services.
participatory designcommunity governanceproblem formulationdesignprototypingevaluation
- Region
- North America
- Lead organization
- Toronto Metropolitan University - Bridging Divides
- Organization type
- community-university collaboration
- Technology group
- community governance around AI research and practice
- Activity status
- funded
- Start year
- 2024
- Last updated
- Mar 25, 2026
- Participation mode
- community-led participatory design and governance
- Participants
- immigrant communities; asylum seekers; community organizers; researchers
- Methods
- community workshops; co-design; prototype adaptation; interviews
- AI lifecycle stages
- problem formulation; design; prototyping; evaluation
- Evidence summary
- Official materials describe a community-led design process with immigrant and asylum-seeking communities and the co-creation of an adapted prototype for local services.
- Atlas assessment
- Core · High confidence · evidence grade A
- Uncertainty
- Public evidence indicates that stakeholders directly shaped AI design, data, deployment, evaluation, or oversight; residual uncertainty concerns the exact degree of shared decision power rather than project existence.
- Participation group
- Community Led
- Technology description
- community governance around AI research and practice
- Funding
- Not documented
- Region of activity
- local
- Verification status
- Live Verified
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