Participatory AI Atlas
Online governance / content moderationcontent moderation; peer productionParticipation documented

Wikimedia ORES

San Francisco, United States

ORES is framed as participatory machine learning for Wikipedia, with community values and human judgment kept in the loop.

participatory governancevalue-sensitive designhuman-centered designdata labelingmodel trainingdeploymentauditinggovernance
Project documentationEvidence source
Overview
Region
Global
Lead organization
Wikimedia Foundation / volunteer community
Organization type
nonprofit + peer production community
Technology group
classification
Activity status
legacy
Start year
2015
Last updated
Mar 25, 2026
Participation documentation
Participation mode
community-in-the-loop participatory ML
Participants
volunteer editors; moderators; tool developers
Methods
community values studies; feedback loops; ML-assisted workflows
AI lifecycle stages
data labeling; model training; deployment; auditing; governance
Evidence summary
ORES is framed as participatory machine learning for Wikipedia, with community values and human judgment kept in the loop.
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.
Project details
Participation group
Participatory Governance
Technology description
classification
Funding
Not documented
Region of activity
global
Verification status
Live Verified
Links
Project documentationOfficial pageEvidence sourceResearch paperConference slides

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