Algorithmic governance / public servicespublic sector algorithmic accountabilityParticipation documented
AI Failure Cards for Homeless Services
Pittsburgh, United States
Paper and university materials describe failure cards co-developed around homeless-service contexts to surface and mitigate harms from AI systems.
participatory designcommunity governanceproblem formulationevaluationgovernance
- Region
- North America
- Lead organization
- Carnegie Mellon University / grassroots partners
- Organization type
- university + civic methodology partner
- Technology group
- algorithmic decision systems in public services
- Activity status
- active
- Start year
- 2025
- Last updated
- Mar 25, 2026
- Participation mode
- community-led participatory design and governance
- Participants
- grassroots homeless-services actors; researchers; service workers
- Methods
- failure-card design; participatory research; workshops
- AI lifecycle stages
- problem formulation; evaluation; governance
- Evidence summary
- Paper and university materials describe failure cards co-developed around homeless-service contexts to surface and mitigate harms from AI systems.
- Atlas assessment
- Cautious · Medium confidence · evidence grade C
- Uncertainty
- Affected-community orientation is clear, but public documentation focuses on method prototyping rather than long-term institutional adoption.
- Participation group
- Community Led
- Technology description
- algorithmic decision systems in public services
- Funding
- Not documented
- Region of activity
- local
- Verification status
- Indirect Verified
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