High-risk AI guide · Annex III

Annex III point 6

High-risk AI in law enforcement

AI in law enforcement requires extra care around legal basis, proportionality, bias, logging and human responsibility.

What falls in scope?

Risk assessment of natural persons.

Analysis of traits or behaviour.

Assessment of evidence reliability.

Support for detection, investigation or prosecution.

When to review first?

Individual risk scores

Investigation prioritisation

Evidence reliability scoring

Profiling for intervention

What should a first review deliver?

Legal basis, necessity and proportionality

Logging and audit trail

Human oversight

False positives and fundamental-rights impact

Recognisable situations

1

Risk scoring

AI estimates risk of re-offending or incidents.

2

Evidence

AI assesses relevance or reliability of evidence.

3

Investigation

AI prioritises leads or persons for follow-up.

Based on official sources

This page is a practical guide for first classification and preparation. For legal decisions, a full system and context review remains necessary.

View official Annex III text

Make this concrete for your systems.

Start with the Gap Intake and share which AI systems, suppliers and processes are in scope. Then we can sharpen the classification and first evidence route.