AI Risk Wire

Cases › biased or discriminatory › LR-2026-0355

UK police forces lobbied to keep a biased facial recognition system

Preliminary Why: 1 report: The Guardian · subject to change · 1 independent report

Status: no action reported

Severity moderate
Reported 10 Dec 2025
Industry law enforcement

No source states: loss or records, developer and model, agent tool, could do, deployer.

Severity moderate: test met: data of others (custody photos) searched, with bounded scope stated as a limited set of circumstances; no affected count stated

UK police forces use the Police National Database to run retrospective facial recognition searches, comparing a probe image of a suspect against more than 19 million custody photos for potential matches. A review by the National Physical Laboratory, commissioned by the Home Office, found the system misidentified Black and Asian people and women at significantly higher rates than white men. In September 2024 police bosses were told of the bias, and the National Police Chiefs’ Council ordered a higher confidence threshold that significantly reduced it. That decision was reversed the following month after forces complained the system was producing fewer investigative leads. The Home Office has said it acted on the findings and that a new algorithm has been independently tested and procured. Chief Constable Amanda Blakeman said safeguards were reissued through training and guidance to PND users.

What happened

1 · What it was doingPolice forces ran retrospective facial recognition searches on the Police National Database, comparing suspect images against more than 19 million custody photos.

What was done

No source states an action or fix.

Risks

Read from the sources; not yet reviewed by a person.

Controls

Not yet read for controls. Controls that mitigate the primary risk:

Application

Bias testing · Risk assessment per deployment · Output filtering and redaction

Evidence

No source states: what went wrong, what it reached or did, how it was caught, when it happened, when it was found, how many records were exposed, the direct loss, a count of the other parties affected, any court case, the cause, what set it off, what was done.

Show the full account: 1 items from the primary sources

What happened, in order

  1. September 2024 Police bosses were told the system was biased.
Show every field, with its source and grade

The AI system

What it was for
retrospective facial recognition searches comparing a probe image of a suspect against custody photos
C one secondary source states it

What happened

Earliest source we hold
2025-12-10
D inferred by us from the described behaviour, reason shown
What went wrong
biased or discriminatory
C one secondary source states it
AI agent
no AI agent acted
C one secondary source states it
primary risk
RK16
D inferred by us from the described behaviour, reason shown

Impact

Severity
moderate
D inferred by us from the described behaviour, reason shown
Kind of harm
discrimination
C one secondary source states it
Who was affected
women, young people, and members of ethnic minority groups
C one secondary source states it
Why this severity
test met: data of others (custody photos) searched, with bounded scope stated as a limited set of circumstances; no affected count stated
D inferred by us from the described behaviour, reason shown

Context

Industry
law enforcement
C one secondary source states it
Country
United Kingdom
C one secondary source states it

Notes on gaps

The Home Office and NPCC claims of human review and safeguards are reported as claims and are not verified. The Home Office's new algorithm test was scheduled for early next year and its result is not reported.

LR-2026-0355 · version 1 · published 2026-11-01 after automatic checks; not yet checked field by field by a person · JSON