AI Regulatory Intelligence — by YRproject

factual analysis · traceable to primary sources

Explainer

AI proctoring and exam surveillance: is AI monitoring allowed?

Adopted 2026-06-20 · ≈ 1 min read · Dirk Baaijen

AI proctoring (online exam surveillance) detects prohibited behaviour during tests and therefore falls under Annex III: high-risk. If the system infers emotions, it is even banned (Art. 5). The GDPR also requires a legal basis, proportionality and usually a DPIA — especially for minors.

Short answer: AI proctoring — software that remotely supervises online tests — detects prohibited behaviour by students and therefore falls under Annex III of the AI Act: high-risk. If the system also infers emotions or "engagement", that is outright banned in educational institutions (Art. 5). And the GDPR requires a valid legal basis, proportionality and usually a DPIA — extra strict for minors.

Why proctoring is high-risk

Annex III designates AI that "detects prohibited behaviour during tests" as high-risk. That is exactly what proctoring does: facial, gaze and sound analysis to flag "suspicious" behaviour. The high-risk requirements therefore apply: human oversight (a human assesses the flag, the system doesn't decide), data quality and bias examination, transparency and logging.

The prohibited line

Some proctoring tools claim to measure "engagement" or stress via emotion recognition. In education that is banned (Art. 5). The line is hard: behaviour detection can be high-risk (allowed with safeguards), inferring emotions is banned. See prohibited AI practices.

The GDPR sets the standard

Proctoring is intrusive: continuous observation, often of minors, in the private home environment. The GDPR requires a valid legal basis (consent in an educational relationship is usually not freely given), strict proportionality (is there a less intrusive alternative?), data minimisation and a DPIA. Regulators and courts have repeatedly scrutinised proctoring.

What to do

  • Test proportionality first: could a less intrusive form of assessment work?
  • Classify the system and rule out emotion recognition.
  • Build in human oversight on every flag — no automatic accusation.
  • Run a DPIA and inform students (and parents) in advance.
  • See the broader framework in AI in education.

Proctoring is the sharpest example of education AI: high-risk, close to a ban, and heavily regulated under the GDPR. Start with whether it is proportionate — not with which tool.

Sources

  1. https://eur-lex.europa.eu/eli/reg/2024/1689/oj
    Regulation (EU) 2024/1689 (AI Act): Annex III (detecting prohibited behaviour during tests) high-risk; Art. 5 bans emotion recognition in education.
  2. https://eur-lex.europa.eu/eli/reg/2016/679/oj
    General Data Protection Regulation (GDPR): legal basis, proportionality and DPIA for monitoring.

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Dirk Baaijen

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Compiled and maintained by YRproject — programme and project direction at the intersection of digital transformation, AI and regulation. Every factual claim is traceable to its primary source. YRproject is led by Dirk Baaijen About & method →

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