Description: A black man was wrongfully arrested by the Jefferson Parish Sheriff’s Office due to facial recognition system developed by Clearview AI, although facial recognition use was not disclosed in the documents used to arrest him.
Editor Notes: See Incident 815 for a wider investigation.
Entities
View all entitiesAlleged: Clearview AI developed an AI system deployed by Jefferson Parish Sheriff’s Office, which harmed Randal Quran Reid.
Incident Stats
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
On the Friday afternoon after Thanksgiving, Randal Quran Reid was driving his white Jeep to his mother’s home outside Atlanta when he was pulled over on a busy highway. A police officer approached his vehicle and asked for his driver’s lice…
Arrested on November 25, while driving in the suburbs of Atlanta (Georgia), Randal Reid probably did not anticipate the turn this case was going to take. And for good reason, this 29-year-old African American was arrested and then provision…
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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