Education / participatory AI governanceeducation and international developmentParticipation documented
Fair-AIEd
Oxford, United Kingdom
Fair-AIEd explicitly frames itself as participatory design work around ethical AI in education across Ghana and South Africa.
data justicedecolonizationcivic engagementproblem formulationgovernancedesignevaluation
- Region
- Europe
- Lead organization
- University of Oxford
- Organization type
- university
- Technology group
- AI in education policy and system design
- Activity status
- completed
- Start year
- 2020
- Last updated
- Mar 25, 2026
- Participation mode
- participatory design for ethical AI in education
- Participants
- school leaders; teachers; students; parents; policymakers
- Methods
- ethnography; participatory design; stakeholder engagement; prototyping
- AI lifecycle stages
- problem formulation; governance; design; evaluation
- Evidence summary
- Fair-AIEd explicitly frames itself as participatory design work around ethical AI in education across Ghana and South Africa.
- 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
- Participatory Research
- Technology description
- AI in education policy and system design
- Funding
- Not documented
- Region of activity
- multi-country
- Verification status
- Live Verified
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