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Incident 692: London Metropolitan Police's Facial Recognition Technology Reportedly Misidentified Shaun Thompson as Suspect Leading to Arrest

Description: Sometime in February 2024, Shaun Thompson is reported to have walked by one of the London Metropolitan Police's facial recognition technology vans near London Bridge. He was almost immediately arrested because the technology is reported to have misidentified him as a suspect in an unrelated and unspecified crime.
Editor Notes: Incidents 691 and 692 are paired together in the reporting, but they are two separate, discrete harm events. I have created distinct incident IDs for each while replicating the reporting for each one. The incident date of 2/1/2024 gestures toward the fact that we seem only to have "sometime in February" as the date of Shaun Thompson's misidentification and arrest.

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Alleged: Metropolitan Police Service developed and deployed an AI system, which harmed Shaun Thompson and General public.

Incident Stats

Incident ID
692
Report Count
3
Incident Date
2024-02-01
Editors
Daniel Atherton
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

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.
 
  1. 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

Incident Occurrence+1
'I was misidentified as shoplifter by facial recognition tech'
Black Activist Brings Legal Challenge To Police After False Facial Recognition Arrest
'I was misidentified as shoplifter by facial recognition tech'

'I was misidentified as shoplifter by facial recognition tech'

bbc.com

Innocent woman branded a shoplifter by facial recognition software

Innocent woman branded a shoplifter by facial recognition software

thetimes.co.uk

Black Activist Brings Legal Challenge To Police After False Facial Recognition Arrest

Black Activist Brings Legal Challenge To Police After False Facial Recognition Arrest

peopleofcolorintech.com

'I was misidentified as shoplifter by facial recognition tech'
bbc.com · 2024

Sara needed some chocolate - she had had one of those days - so wandered into a Home Bargains store.

"Within less than a minute, I'm approached by a store worker who comes up to me and says, 'You're a thief, you need to leave the store'."

S…

Innocent woman branded a shoplifter by facial recognition software
thetimes.co.uk · 2024

Shoppers have been warned that facial recognition software used by stores is wrongly identifying some innocent customers as thieves.

A woman said that an employee at Home Bargains, the variety store chain, accused her of being a shoplifter …

Black Activist Brings Legal Challenge To Police After False Facial Recognition Arrest
peopleofcolorintech.com · 2024

Black British anti-knife crime activist Shaun Thompson, 38, has launched a legal challenge against the Metropolitan Police.

The police detained the 38-year-old after live facial recognition technology wrongly identified him as a suspect.

'S…

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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Previous IncidentNext Incident

Similar Incidents

Selected by our editors
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May 2024 · 2 reports
By textual similarity

Did our AI mess up? Flag the unrelated incidents

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