AI triage of abuse imagery under test to find victims faster

On 13 April 2026 the Met said it is exploring AI to grade and triage child sexual abuse imagery, testing with multiple companies, to flag unknown victims faster; no deployment or outcome yet.

AI system

System

Unnamed AI grading and triage tools under evaluation

Model

Not assessed

Release

Not assessed

Application developer

Multiple companies, not named

Role

Not assessed

Configuration

Not assessed

Inputs and outputs

Not assessed

Autonomy

Not assessed

Workflow

Large volumes of seized imagery awaiting manual grading. Vendor classifiers for severity grading and known-versus-unknown victim flagging.

Human oversight

Not assessed

Relation to AI

No AI system has yet acted. The Met is testing possible tools from unnamed companies. The case is included only as a documented official intention.

AI contribution

Not assessed

Benefits

Outcome identifiers

Not assessed

Benefit

On 13 April 2026 the Met said it is exploring AI to grade and triage child sexual abuse imagery, testing with multiple companies, to flag unknown victims faster; no deployment or outcome yet.

Category

Repetitive Task Automation

Status

Not assessed

Beneficiary groups

Organizations. People.

Beneficiaries

Not assessed

Reach

Not assessed

Distribution and access

Not assessed

Duration

Not assessed

Expected?

Yes

Costs and harms

Not assessed

Measurement

Studies

Not assessed

Study design

Not assessed

Measurement

Not assessed

Setting and sample

Not assessed

Measures

Not assessed

Comparison

Assumed alternative: manual review of seized material by officers

Results

Assumed comparison. Reference: officers may need to spend hours manually reviewing seized material to establish whether images or videos relate to known cases. Result: could significantly shorten the time between detection and intervention.

Additional value from AI

Not assessed

Limitations

Not assessed

Denominators

Not assessed

Materials for replication

Not assessed

Money

Kind of value

Not assessed

Amount

Not assessed

Currency and prices

Not assessed

Period and unit

Not assessed

Realization

Not assessed

Recipients and payers

Not assessed

Gross or net

Not assessed

Included costs

Not assessed

Comparison

Not assessed

Method

Not assessed

Return and payback

Not assessed

People and places

Participants

Developer: Multiple companies, not named. Operator: Metropolitan Police Service.

Jurisdictions

Benefit: London, United Kingdom. Operator: United Kingdom.

Ownership and control

Not assessed

Dependencies

Not assessed

Cross-border connections

Not assessed

Geopolitical implications

Not assessed

Follow-up

Conditions for replication

Legal and ethical frameworks for processing the material. Human decision-making retained. Evaluation showing acceptable error rates.

Replication attempts

Not assessed

Later findings

No development after the 13 April 2026 announcement was found in the cited sources.

Availability

Not assessed

Institutional decision

Not assessed

Grounds

Not assessed

Action and result

Not assessed

Success criterion

Not assessed

Evidence

Source numbers

AIBD-0235-source-0001–0002

Citations

Numbered references below.

Language

Not assessed

Source relationships

Operator, Independent

Original evidence

Not assessed

Access and versions

Not assessed

Supported findings

Not assessed

Evidence strength

Not assessed

Missing evidence

Not assessed

Grades

Assessed benefits

Organizations. People.

Depth

Not assessed

Reasons

Organizations: No deployment or measured effect; the force describes intended benefits only. People: No victim identified through the tools in the sources.

Observed or intended

Not assessed

Rubric

Not assessed

Assessor and date

Not assessed

Alternative assessments

Not assessed

Fill

The deployer's account

Entry details

Kind

Not assessed

Field

Child protection / online child sexual abuse investigation. Government.

Purpose

Rapidly analyze seized imagery to grade it in categories A to C. Flag content possibly showing previously unknown victims. The aims are to prioritize safeguarding and reduce officer exposure.

Dates

Date basis unassessed: 2026 (precision unassessed). Updated: 21 October 2026.

Stage

Not assessed

Version

SHA-256: d4b32d6bc908…

References

Other identifiers

Not assessed

Category mappings

Not assessed

Brief

Not assessed

Revisions

5 revisions. Latest: 21 October 2026.

Sources

  1. Press release Deployer

    Metropolitan Police Service, news release, 13 Apr 2026

  2. Registry label Independent author

    OECD AI Incidents Monitor, hazard 2026-04-13-83b8