Riverside Arena facial recognition system misidentifies Black teenager
A facial recognition system at the Riverside Arena skating rink in Livonia, Michigan, incorrectly identified a 14-year-old Black teenager as a banned individual. The girl had never visited the rink before the incident.
The software had her daughter at a 97 percent match.
Key facts
- What
- A facial recognition system at the Riverside Arena skating rink in Livonia, Michigan, incorrectly identified a 14-year-old Black teenager as a banned individual.
- Incident date
- Jul 10, 2021
- Who
- Riverside Arena
- Failure mode
- Brand & Safety Incident
- AI surface
- Computer Vision
- Severity
- Medium
What happened
Lamya Robinson, a 14-year-old Black teenager, was barred from entering the Riverside Arena skating rink after facial recognition cameras misidentified her. Staff claimed she was a woman who had been banned following a brawl in March. Lamya had never previously visited the establishment.
What broke inside the model
- 01 · TriggerA user prompts the model in public view.
- 02 · Model stepThe model produces unsafe or off-brand output.
- 03 · Control gapNo filter holds the line before publish.
- 04 · FailureThe output goes public unchecked.
- 05 · ConsequenceA reputational or safety incident lands.
A contained signal crosses into output that goes public.
The facial recognition software produced a false positive, reporting a 97 percent match between the teenager and a banned individual. This failure highlights the tendency of such systems to exhibit racial bias, particularly when processing darker skin tones.
What it cost
Sources
Cite this entry
https://failureindex.ai/failures/riverside-arena-facial-recognition-misidentifies-blackAI Failure Index. "Riverside Arena facial recognition system misidentifies Black teenager" (FI-0545). Realm Labs. https://failureindex.ai/failures/riverside-arena-facial-recognition-misidentifies-black (indexed Jun 16, 2026).Data fields CC-BY 4.0, prose citation permitted. Incident ID FI-0545. Full dataset at /data.
Note from Realm Labs, the Index steward
How Realm fits
- Prism
- OmniGuard
- AI Detection & Response (AIDR)
This entry sits in the index's predictive wing: a system that scores, ranks, perceives, or steers rather than generates. Realm's runtime layer is built for the generative and agentic systems now moving into these same decision seats, where it watches a model's internal state and holds an unsupported claim or an unchecked action before it commits. The control gap on this record, an automated decision that reached people with no runtime check in front of it, is the same gap. The index keeps predictive failures on the record because the pattern carries straight into the systems shipping today.