Accessibility / dataset stewardshipresponsible AI development and deploymentParticipation documented
The Data Card Playbook
Mountain View, United States
The playbook explicitly frames dataset documentation through participatory activities and people-centred transparency so that affected stakeholders can shape dataset documentation and downstream AI accountability.
data stewardshipparticipatory governanceproblem formulationdata governancedeployment review
- Region
- Multi Region
- Lead organization
- Researchers and Technologists
- Organization type
- research institute
- Technology group
- governance / protocol design
- Activity status
- completed
- Start year
- Not documented
- Last updated
- Mar 25, 2026
- Participation mode
- participatory data stewardship and shared governance
- Participants
- dataset creators; affected stakeholders; auditors
- Methods
- documentation co-design; stakeholder prompts; participatory review
- AI lifecycle stages
- problem formulation; data governance; deployment review
- Evidence summary
- The playbook explicitly frames dataset documentation through participatory activities and people-centred transparency so that affected stakeholders can shape dataset documentation and downstream AI accountability.
- Atlas assessment
- Cautious · Medium confidence · evidence grade B
- Uncertainty
- The case is mainly documented through a paper or secondary project description; more implementation evidence would improve confidence.
- Participation group
- Co Governance
- Technology description
- governance / protocol design
- Funding
- Not documented
- Region of activity
- national
- Verification status
- Mixed Verified
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