Peppermill Casino Facial Recognition System Reportedly Misidentified Individual, Leading to Wrongful Arrest in Reno

September 17, 2023

Incident at Reno's Peppermill Casino involving facial recognition technology allegedly misidentifying an individual previously banned from the venue, leading to wrongful arrest by the Reno PD. Highlights the need for governance, map, measure, and manage practices in ensuring safe and secure AI.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 4.1 — similarity 0.680, rank 1. TAIM detail and related incidents →
GOVERN 6.1 — similarity 0.663, rank 2. TAIM detail and related incidents →
MAP 5.1 — similarity 0.656, rank 3. TAIM detail and related incidents →

Alleged deployer: reno-police-department, peppermill-casino, facial-recognition-system-deployers, law-enforcement
Alleged developer: facial-recognition-system-developers
Alleged harmed parties: people-misidentified-by-facial-recognition-systems, jason-killinger

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Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1311

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.