Description: 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.
Entities
View all entitiesAlleged: 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
Incident Reports
Reports Timeline

With license plate reader (LPR) use rapidly expanding throughout the United States, it's no surprise that sometimes officers pull over motorists—at gunpoint—for mistakes made by the automated camera system.
The latest incident happened near…

Automatic license plate readers can scan plates at a rate of one per second. Nationwide, several hundred million plate/location records have been captured and stored by a variety of contractors. Mathematics alone says mistakes will be made.…
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.