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EU AI ACT · EDUCATION · VOCATIONAL TRAINING · ANNEX III

WHEN AI SHAPES A STUDENT’S PATH,
THE DECISION HAS TO BE GOVERNABLE.

Education AI becomes high-stakes when it influences admission, placement, learning outcomes, assessment, access, or testing. The critical question is not whether software is used in a school—it is what decision the AI can materially influence and what evidence supports that use.

BOUNDARYThis page is educational and operational guidance. It is not legal advice, certification, conformity assessment or regulatory approval.
CURRENT SOURCE ANCHOR

EUR-Lex · Regulation (EU) 2024/1689 · Annex III Education and Training

The Regulation identifies certain education and vocational-training AI use cases as high-risk, including access or admission, assignment to programmes, evaluation of learning outcomes, assessment of education level, and monitoring prohibited behaviour during tests. It separately prohibits certain emotion-recognition uses in education institutions except for medical or safety reasons.

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WHAT BUSINESSES NEED TO ESTABLISH

Do not start with a generic checklist.

Start with the actual system, role, use case and evidence boundary. The same regulation can produce different obligations for different actors and systems.

01

IS THE AI DETERMINING ACCESS OR ADMISSION?

Annex III identifies certain AI systems used to determine access or admission to educational or vocational-training institutions and programmes as high-risk.

02

IS THE AI EVALUATING LEARNING OUTCOMES OR EDUCATION LEVEL?

Systems intended to evaluate learning outcomes, assess an individual’s appropriate education level, or materially influence the level of education or training a person receives can also fall into the high-risk education category.

03

IS THE SYSTEM MONITORING STUDENTS DURING TESTS?

AI used to monitor or detect prohibited behaviour during tests is included among high-risk education use cases. Separate this from prohibited emotion-recognition uses in education institutions.

04

CAN YOU PROVE HOW THE SYSTEM AFFECTS THE STUDENT?

Preserve intended purpose, decision role, system version, data inputs, evaluation criteria, human oversight, appeal/escalation routes, testing, performance limits, notices, and changes affecting continued reliance.

THE TA-14 OPERATING ROUTE

Turn the question into a governed record.

The goal is not merely to reach an answer. It is to preserve what facts, evidence, scope and limitations supported that answer at that time.

01

Define the exact educational decision

Admission, placement, grading, learning-outcome evaluation, proctoring, tutoring, scheduling, recommendation, and administrative assistance should not be treated as one category. Classify the real intended purpose.

02

Determine whether Annex III high-risk classification applies

Map the system against Article 6 and Annex III, preserving unresolved facts and any claimed Article 6(3) exclusion instead of assuming every educational tool is automatically high-risk.

03

Bind oversight and evidence to the student-impact pathway

Connect data governance, technical documentation, logging, transparency, human oversight, accuracy, robustness, cybersecurity, review procedures, and appeal or escalation controls to the educational decision being influenced.

04

Revalidate when the model or educational use changes

A tool that begins as tutoring support can become a materially different governance problem if it later ranks students, determines admission, changes placement, scores exams, or influences access to programmes.

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COMMON QUESTIONS

Questions businesses are asking now.

Is AI used for school or university admissions high-risk under the EU AI Act?

Certain AI systems intended to determine access or admission to educational or vocational-training institutions or programmes are listed in Annex III as high-risk.

What about AI that grades or evaluates students?

Certain systems used to evaluate learning outcomes, assess appropriate education level, or materially influence the level of education or training a person receives are also included in the high-risk education category.

Is AI proctoring high-risk?

Certain AI systems intended to monitor or detect prohibited behaviour during tests are listed as high-risk in Annex III.

Can schools use emotion-recognition AI?

The AI Act prohibits certain emotion-recognition uses in education institutions, except where the use is intended for medical or safety reasons. This is a separate question from the Annex III high-risk education categories.

Are all education AI tools high-risk?

No. Classification depends on intended purpose. Administrative tools, general tutoring, content generation, scheduling, or other limited-support uses may follow different routes depending on what the system actually does and how it is used.

Does TA-14 certify an education AI system as compliant?

No. TA-14 can preserve system identity, classification basis, evidence, gaps, student-impact pathways, changes, and revalidation history. It does not itself provide legal advice, conformity assessment, certification, or regulatory approval.

EU AI ACT WORLD · TA-14 AUTHORITY GOVERNANCE INSTITUTION

Understand the requirement. Preserve the evidence. Revalidate when reality changes.

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