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1.5 Compliant Use of AI

Take Home message

If you remember only one sentence from this page: Compliance is a house, not a wall.

The reading journal, third look

Our ninth-grade student, his reading journal, his teacher's suspicion. In Chapter 1.3, it was a question about learning; in Chapter 1.4, about professional judgment. Here it is a court file.

In December 2025 the Administrative Court of Hamburg, Germany, ruled on an urgent application in the case. The teacher had noticed that the journal did not match the boy's writing style in a class test. As a consequence, the school treated it as deception.  This was followed by an urgent application to stop this, but the court refused. Undisclosed AI use in schoolwork counts as deception even where the school has no explicit rule against AI. All students must assume they are to work independently unless they have been told which aids are allowed. One caveat to keep in mind from the outset: this is a single court, and the decision is not yet final.

This is a good moment to address the most common misconception in this field. There is no legal vacuum. There never has been.

The house has three storeys

Most teachers envisage AI law as a single wall under construction somewhere in Brussels. However, it is more useful to picture a house that you already live in. The foundation is data protection. It is load-bearing. It was laid years ago. It governs your Tuesday morning. The upper storey is the EU AI Act, Europe's AI law, which categorizes systems according to their potential for harm and imposes stricter obligations the higher the risk. It is partly occupied and still under construction, with the completion date just pushed back. The doors and windows are copyright and examination law — small and specific, and touched daily without noticing.

Ground floor: data protection, clearer than many think

Handling someone's personal data always requires legal permission. As a public body, a school's permission essentially comes from its statutory duties under school law. There is no general license that comes with being a teacher.

Three consequences follow, forming the practical core of this chapter.

Removing names does not anonymize data. In 2024, Germany's data protection authorities jointly stated that if someone could still be identified from the context, the data is still personal. This is particularly problematic in schools because the types of text that teachers most want help with — such as essays, free writing and learning journals — identify their author by style.

The dividing line is the contract: a provider may handle your data if it does so strictly on your instructions and there is a written agreement to this effect. However, the moment it uses what you type for its own purposes,  the arrangement collapses because it is no longer working on your behalf. So the practical test is this: Is there such an agreement, and does it exclude training on your inputs? If not, no personal data should be entered.

Two footnotes worth noting: Data relating to health, disability, and special educational needs is subject to even stricter protection under EU law, and at least one German state (Baden-Württemberg) has explicitly prohibited its use in AI systems by ministerial decree. Where private devices are involved, the legal responsibility lies with the school, not you personally, which relieves you and obliges your head teacher.

Upper floor: what the AI Act does and does not require yet