Algorithmic justice / participatory researchAI justiceParticipation documented
PARTIALJUSTICE
Munich, Germany
Project description says it involves marginalized groups in creating solutions to AI harms through fieldwork and workshops.
participatory justiceintersectionalityparticipatory designharm identificationproblem formulationauditingintervention design
- Region
- Europe
- Lead organization
- Technical University of Munich
- Organization type
- university
- Technology group
- algorithmic systems / justice research
- Activity status
- funded
- Start year
- 2025
- Last updated
- Mar 25, 2026
- Participation mode
- ethnography + participatory design
- Participants
- marginalized and affected communities
- Methods
- ethnography; workshops; participatory design
- AI lifecycle stages
- harm identification; problem formulation; auditing; intervention design
- Evidence summary
- Project description says it involves marginalized groups in creating solutions to AI harms through fieldwork and workshops.
- 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
- algorithmic systems / justice research
- Funding
- Not documented
- Region of activity
- international
- Verification status
- Live Verified
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