Incident 309: Facial Recognition Trial Performed Poorly at Notting Hill Carnival

Description: The facial recognition trial by London’s Metropolitan Police Service at the Notting Hill Carnival reportedly performed poorly with a high rate of false positives.
Alleged: Unknown developed an AI system deployed by Metropolitan Police Service, which harmed Notting Hill Carnival goers.

Suggested citation format

Lam, Khoa. (2017-08-26) Incident Number 309. in Lam, K. (ed.) Artificial Intelligence Incident Database. Responsible AI Collaborative.

Incident Stats

Incident ID
309
Report Count
4
Incident Date
2017-08-26
Editors
Khoa Lam

Tools

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Incident Reports

Metropolitan Police’s use of Facial Recognition Technology at the Notting Hill Carnival, 2017

This kind of biometric technology (Facial Recognition Technology) has the potential to be a really useful crime fighting tool but we are not there yet. It needs to be properly tested and evaluated if it is going to be effective and it will …

Police facial recognition trial led to 'erroneous arrest'

The controversial trial of facial recognition equipment at Notting Hill Carnival resulted in roughly 35 false matches and an 'erroneous arrest', highlighting questions about police use of the technology.

The system only produced a single ac…

Zero arrests, 2 correct matches, no criminals: London cops' facial recog tech slammed

London cops' facial recognition kit has only correctly identified two people to date – neither of whom were criminals – and the UK capital's police force has made no arrests using it, figures published today revealed.

According to informati…

Don’t Believe the Algorithm

The Notting Hill Carnival is Europe’s largest street party. A celebration of black British culture, it attracts up to two million revelers, and thousands of police. At last year’s event, the Metropolitan Police Service of London deployed a …

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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