Risk guide

What Is a High-Risk AI System?

A high-risk AI signal usually appears when an AI system affects safety, rights, access, eligibility, employment, education, public services, or other consequential decisions.

Common high-risk signals

AreaExamples to review carefully
EmploymentCV screening, worker scoring, task allocation, promotion or dismissal support.
EducationAdmissions, exam scoring, student assessment, learning-path decisions.
Credit and essential servicesCreditworthiness, insurance eligibility, benefits, housing access.
BiometricsIdentification, categorization, emotion recognition, access control.
Healthcare and safetyClinical triage, patient recommendations, safety-critical monitoring.
Public sector and lawLaw enforcement, migration, border control, courts, democratic processes.

What to do if you see a signal

Official sources

Last reviewed: 2026-07-03.

Check your system

Updated review note

Review and responsible-use note

What Is a High-Risk AI System? is maintained as a practical page for AI compliance self-assessment. Use the result to organize internal review, collect evidence, and decide when a qualified legal or compliance specialist should review the system.

Scope

What this page is for

It helps users produce a concrete artifact, checklist, or decision note instead of only reading generic advice. The page is written for people comparing options and preparing a real workflow.

Limit

What it does not replace

These tools provide operational checklists and first-pass triage, not legal advice, certification, or a guarantee of EU AI Act compliance.

Practical value note

How this page supports the site

What Is a High-Risk AI System? gives visitors context about AI Compliance Kit, the workflow boundaries, and how the site's AI compliance review pages should be used. It supports trust by explaining purpose, limitations, contact paths, and review expectations.

Audience

Who this is for

What Is a High-Risk AI System? is written for founders, product owners, compliance teams, and operators preparing AI systems for review. It assumes the visitor wants to complete a practical task, not browse a decorative landing page.

Output

What to save

The useful result should be a checklist, report, policy draft, questionnaire, or review note that can be copied, downloaded, printed, compared, or used as a next-step working document.

Review

What to check

The output is an operational preparation aid. It should be reviewed against the actual system, data flow, jurisdiction, and qualified legal or compliance advice before production use. Keep the original source material and record the assumptions used for the generated result.

Use this page to understand the site before relying on any generated output or publishing a changed file, policy, or technical configuration. If the result affects a public page, customer-facing workflow, policy decision, or uploaded file, review one sample manually before repeating the workflow in bulk.