Urban planning / generative AIurban planningParticipation documented
MID-Space
Montreal, Canada
Developed with Montreal community organizations and local residents involved from defining criteria to reviewing images.
inclusive designhuman-centered designintersectionalityproblem formulationdata collectionlabelingmodel tuningevaluation
- Region
- North America
- Lead organization
- UNESCO Chair in Urban Landscape; Mila
- Organization type
- university / research lab
- Technology group
- generative image models + preference learning
- Activity status
- active
- Start year
- 2024
- Last updated
- Mar 25, 2026
- Participation mode
- community workshops + annotation
- Participants
- residents; community organizations; urban designers
- Methods
- workshops; criteria definition; annotation; image review
- AI lifecycle stages
- problem formulation; data collection; labeling; model tuning; evaluation
- Evidence summary
- Developed with Montreal community organizations and local residents involved from defining criteria to reviewing images.
- 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
- Co Production
- Technology description
- generative image models + preference learning
- Funding
- Not documented
- Region of activity
- local
- Verification status
- Live Verified
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