Incident 611: translated-fr-UK Government AI Allegedly Targets Disproportionate Numbers of Certain Nationals for Fraud Review
Description: translated-fr-The UK's Department for Work and Pensions (DWP) faced scrutiny after many Bulgarian nationals reported unexplained suspensions of their Universal Credit benefits. The MP for Edmonton raised concerns about potential nationality-based targeting for benefit fraud investigations, leading to poverty and homelessness among affected individuals. The Home Office's own equality impact assessment found it was flagging a disproportionate number of marriages from Greece, Albania, Bulgaria and Romania.
Entités
Voir toutes les entitésAlleged: Home Office , Department for Work and Pensions et British government developed an AI system deployed by Various British government offices , Home Office , Department for Work and Pensions et British government, which harmed Romanians in the United Kingdom , Greeks in the United Kingdom , Bulgarians in the United Kingdom , British public et Albanians in the United Kingdom.
Statistiques d'incidents
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.1. Unfair discrimination and misrepresentation
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.
- Discrimination and Toxicity
Entity
Which, if any, entity is presented as the main cause of the risk
Human
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
Intentional