SASSA Facial-Verification Failures Reportedly Contributed to Social Grant Access Disruptions in South Africa
March 30, 2026
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MANAGE 4.3 — similarity 0.613, rank 1. TAIM detail and related incidents →
- GOVERN 6.1 — similarity 0.576, rank 2. TAIM detail and related incidents →
- MAP 4.2 — similarity 0.571, rank 3. TAIM detail and related incidents →
- Alleged deployer
- south-african-social-security-agency-(sassa), facial-recognition-system-deployers
- Alleged developer
- facial-recognition-system-developers, biometric-identity-verification-technology-developers
- Alleged harmed parties
- general-public, general-public-of-south-africa, south-african-social-grant-beneficiaries, social-assistance-recipients, pensioners, elderly-individuals, privacy, biometric-data-subjects
AI governance case studies
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Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1606
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.