Environmental monitoring / computer visionwildlife conservation; fisheries co-governanceParticipation documented

SalmonVision

Vancouver, Canada

Works with First Nations and resource management agencies to co-develop models and give local managers tools for data review and model retraining.

Indigenous stewardshipparticipatory monitoringco-governancedata collectionlabelingmodel trainingdeploymentgovernance

Overview

Participation documentation

Participation mode: co-development with Indigenous partners
Participants: First Nations; fisheries managers; community organizations
Methods: data sharing; co-development; review; annotation; model retraining
AI lifecycle stages: data collection; labeling; model training; deployment; governance
Evidence summary: Works with First Nations and resource management agencies to co-develop models and give local managers tools for data review and model retraining.
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.