Description: A Department for Work and Pensions (DWP) algorithm wrongly flagged over 200,000 UK housing benefit claims as high risk, resulting in unnecessary investigations. Two-thirds of these flagged claims were legitimate, causing wasted public funds and stress for claimants. Despite initial success in a pilot, the algorithm's real-world performance fell short. This incident highlights the risks of overreliance on automated systems in welfare administration.
推定: Department for Work and Pensions (DWP)が開発し提供したAIシステムで、UK general public と UK housing benefit claimantsに影響を与えた
インシデントのステータス
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.3. Unequal performance across groups
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
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
Unintentional