Incidente 310: Alta tasa de falsos positivos por el uso del reconocimiento facial de SWP en la final de la Liga de Campeones
Descripción: El sistema de reconocimiento facial automatizado (AFR) de la Policía de Gales del Sur (SWP) en la final de la Liga de Campeones de fútbol en Cardiff identificó erróneamente a personas inocentes como posibles candidatos con una tasa de falsos positivos extremadamente alta de más del 90 %.
Entidades
Ver todas las entidadesAlleged: NEC developed an AI system deployed by South Wales Police, which harmed FInals attendees y falsely accused Finals attendees.
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
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.
- AI system safety, failures, and limitations
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



