Descripción: In San Francisco, an automated license plate reader (ALPR) camera misread a number as belonging to a stolen vehicle having the wrong make, but its photo was not visually confirmed by the police due to poor quality and allegedly despite multiple chances prior to making a traffic stop, causing an innocent person to be pulled over at gunpoint and restrained in handcuffed.
Entidades
Ver todas las entidadesAlleged: unknown developed an AI system deployed by San Francisco Police Department, which harmed Denise Green.
Clasificaciones de la Taxonomía CSETv1
Detalles de la TaxonomíaIncident Number
The number of the incident in the AI Incident Database.
245
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
Informes del Incidente
Cronología de Informes
Recientemente cubrimos una historia sobre un abogado que se encontró [acercado por policías con armas desenfundadas] out-after-automatic-license-plate-reader-misreads-his-plate.shtml) después de que un lector automático de matrículas leyera…
Variantes
Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.