Description: An automated plate reader reportedly matched a license plate information, but of a family’s minivan and an alleged motorcycle in Montana that was reportedly stolen earlier in the year, resulting in them and their children being held at gunpoint and detained in handcuffs by multiple Aurora police officers.
Entities
View all entitiesAlleged: unknown developed an AI system deployed by Aurora Police Department, which harmed the Gilliam family.
CSETv1 Taxonomy Classifications
Taxonomy DetailsIncident Number
The number of the incident in the AI Incident Database.
244
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.1. Unfair discrimination and misrepresentation
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
Incident Reports
Reports Timeline
The Aurora Police Department in Colorado is blaming its license plate reader for misidentifying a “stolen” vehicle after video went viral showing a Black family with young children being menaced and traumatized by several cops. It’s just th…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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