Description: An image circulated on Facebook purporting to show hundreds of Tanzanians lining up for just five jobs at the Tanzania Revenue Authority (TRA). The photo, reportedly AI-generated, gained traction shortly after TRA invited over 100,000 applicants for interviews on March 29–30. Though TRA had announced more than 1,500 openings, the image misrepresented the situation, stoking public anxiety during a period of high unemployment.
Entities
View all entitiesAlleged: Unknown AI image generator technology developer developed an AI system deployed by unknown, which harmed Tanzanian job seekers , Tanzania Revenue Authority (TRA) and General public in Tanzania.
Alleged implicated AI system: Unknown AI image generator
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.1. False or misleading information
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Misinformation
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Other
Incident Reports
Reports Timeline
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IN SHORT: Some Facebook users claim that this photo shows hundreds of Tanzanians queuing for an interview at the Tanzania Revenue Authority, competing for just five jobs. While the country's unemployment crisis is real, this photo is not.
A…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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