Facial Recognition Trial Performed Poorly at Notting Hill Carnival

August 26, 2017

The facial recognition trial conducted by London's Metropolitan Police Service during the Notting Hill Carnival faced criticism due to a high rate of false positives. Incidents like these underscore the need for safe and secure AI practices. For those interested in shaping trustworthy AI governance, join us at HISPI Project Cerebellum TAIM (Govern) where we map, measure, manage, and foster harm prevention in AI incidents.

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Matched TAIM controls

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

MEASURE 2.6 — similarity 0.724, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.697, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.686, rank 3. TAIM detail and related incidents →

Alleged deployer: metropolitan-police-service
Alleged developer: unknown
Alleged harmed parties: notting-hill-carnival-goers

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/309

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.