1
Assessment
A grading model gives score advice that influences a final mark.
High-risk AI guide · Annex III
Annex III point 3
High-risk AI in education
AI in education is especially sensitive when it affects access, assessment, level placement or test behaviour for learners.
What falls in scope?
Access, admission or assignment to education or training.
Evaluation of learning outcomes or learning-process steering.
Assessment of education level or support needs.
Monitoring or detection of prohibited behaviour during tests.
When to review first?
AI grading or score advice
Adaptive level placement
Proctoring with behaviour or face analysis
Admission or scholarship scores
What should a first review deliver?
Feature classification per learning route
Formative versus summative distinction
Human assessment and objection route
Article 4 training and evidence route
Recognisable situations
2
Placement
A platform places learners into learning routes automatically.
3
Proctoring
AI detects possible prohibited behaviour during an exam.
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.
Other Annex III areas
Annex III point 4
HR and employment
Could the AI affect a person’s job opportunity, evaluation or working conditions?
High-risk AI in HR and employmentAnnex III point 5
Essential services
Could the AI make access to an essential service easier, harder or more expensive?
High-risk AI in essential servicesAnnex III point 1
Biometrics
Can this biometric AI system be used at all, or does a prohibition need to be checked first?
High-risk AI in biometricsAnnex III point 2
Critical infrastructure
Does the AI influence safety, availability or priority for a critical service?
High-risk AI in critical infrastructureMake 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.