Incidente 246: translated-es-Misreading of an Automated License Plate Reader (ALPR) Unverified by Police, Resulting in Traffic Stop in Missouri
Descripción: translated-es-An automated license plate reader (ALPR) camera misread a 7 as a 2 and incorrectly alerted the local police about a stolen Oldsmobile car, which was allegedly not able to be verified by an officer before a traffic stop was effected on a BMW in Kansas City suburb.
Entidades
Ver todas las entidadesAlleged: unknown developed an AI system deployed by Prairie Village Police Department, which harmed Mark Molner.
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
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Con el uso del lector de matrículas (LPR) rápidamente [en expansión] (http://arstechnica.com/tech-policy/2012/09/your-car-tracked-the-rapid-rise-of-license-plate-readers/) en todo Estados Unidos, no sorprende que a veces los oficiales deten…
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Los lectores automáticos de matrículas pueden escanear matrículas a una velocidad de una por segundo. A nivel nacional, [varios cientos de millones](https://www.techdirt.com/articles/20140312/12072426552/dhs-may-have-publicly-dumped-its-lic…
Variantes
Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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