Compliance · Education

EU AI Act compliance
for education in Norway

Admission, assessment, and exam proctoring. The high-risk obligations bind from 2 August 2026, transposed into Norwegian law through KI-loven. Below is the obligation map for your sector, drawn live from the Kernal compliance graph.

High-risk deadline 2 August 2026 · Andes Labs · Oslo, Norway

Admission, grading, and proctoring are all named

Annex III names four education uses as high-risk: deciding admission or assignment to an institution, evaluating learning outcomes, assessing the appropriate level of education, and monitoring or proctoring prohibited behaviour during tests. Proctoring in particular pairs a high-risk classification with a transparency duty — students must be told they are subject to it — and a Fundamental Rights Impact Assessment before first use.

Obligations that apply to education

5 obligations from the EU AI Act apply to this sector. Each shows what the duty requires and the evidence you will need to demonstrate it.

Article 26(2)Your duty (deployer)

Human oversight

Assign human oversight to a competent, resourced, named person with authority to monitor, intervene, and stop the system.

Evidence you will need

  • signed oversight assignment naming the owner
  • oversight monitoring log
Article 26(5)Your duty (deployer)

Monitor and suspend on risk

Monitor operation; suspend use and inform the provider or authority if a risk to health, safety or fundamental rights emerges or a serious incident occurs.

Evidence you will need

  • monitoring procedure
  • incident-escalation runbook
Article 26(6)Your duty (deployer)

Keep logs

Retain the automatically generated logs under the deployer’s control for the appropriate period.

Evidence you will need

  • log-retention policy
  • sample retained logs
Article 6(2) / Annex III(3)(a)Demand from your AI vendor (provider)

High-risk: AI for admission and assignment

AI used to determine access or admission to, or to assign people to, education and training institutions is high-risk.

Evidence you will need

  • use-case classified high-risk under Annex III(3)(a)
Article 6(2) / Annex III(3)(d)Your duty (deployer)

High-risk: AI for monitoring and proctoring during tests

AI used to monitor and detect prohibited behaviour by students during tests is high-risk; students must be informed.

Evidence you will need

  • student-facing notice of AI proctoring
  • human-oversight procedure

Source: Regulation (EU) 2024/1689 (EU AI Act). This is general information, not legal advice; the high-risk classification of a specific system is fact-specific and should be confirmed with counsel.

How Kernal helps

Most of these duties are not about whether you comply — they are about whether you can demonstrate it. Human oversight, monitoring, logging, and impact assessments all produce evidence a regulator can ask for at any time. Kernal is the context layer that captures that evidence as the work happens: every interaction logged, the human decision recorded, an oversight chain you can show rather than assert.

The same obligation graph that renders this page is the one the product runs on. The Compliance Cartridge maps your AI systems to the obligations above and assembles the burden-of-proof record continuously, so the answer to "show us" is already structured.

Kernal does not make Claude smarter. It makes Claude provable.

See your education obligations

Thirty minutes to map your AI usage against the EU AI Act (KI-loven) obligations for education, and to see how the governance layer supports your programme before the 2 August 2026 deadline.

Book a session →explore@andes.no

kernal.andes.no · Andes Labs · Oslo, Norway