Accessibility / dataset stewardshipresponsible AI development and deploymentParticipation documented
Data cooperatives & AI for the public good
Berkeley, United States
Initiative materials describe building co-created datasets governed through data cooperatives and community stewardship for public-interest AI.
data stewardshipparticipatory governanceproblem formulationdata governancedata collectionmodel fine-tuning
- Region
- North America
- Lead organization
- Berkeley Responsible AI Initiative
- Organization type
- university / research lab
- Technology group
- governance / protocol design
- Activity status
- funded
- Start year
- 2025
- Last updated
- Mar 25, 2026
- Participation mode
- participatory data stewardship and shared governance
- Participants
- community members; data contributors; researchers; cooperative stewards
- Methods
- co-created dataset design; cooperative governance; stakeholder dialogue
- AI lifecycle stages
- problem formulation; data governance; data collection; model fine-tuning
- Evidence summary
- Initiative materials describe building co-created datasets governed through data cooperatives and community stewardship for public-interest AI.
- Atlas assessment
- Cautious · Medium confidence · evidence grade A
- Uncertainty
- The work clearly concerns AI-oriented data governance, but public evidence foregrounds cooperative data stewardship more than the lifecycle of one specific AI system.
- Participation group
- Co Governance
- Technology description
- governance / protocol design
- Funding
- Not documented
- Region of activity
- local
- Verification status
- Live Verified
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