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AI Strategy

Supporting Students with Data, Not Surveillance

Our in-house AI supports students using routine academic data, not psychological profiling or surveillance. Here is the line we drew and why it matters.

Supporting Students with Data, Not Surveillance

When people hear that a school uses AI to track how students are doing, they are right to ask hard questions. Is it profiling students? Is it watching them? Is it making judgements about who they are? Those concerns are reasonable, and we take them seriously. So before explaining what our system does, it is worth being clear about what it does not do, because the line we drew is the whole point.

A padlock resting on a keyboard — a reminder that handling student data responsibly means building security and trust into the design from the start

What our AI does not do

Our system does not profile students psychologically, and it does not try to guess anything about their background, personality or character. It makes no demographic assumptions and draws no conclusions about who a student is. It is not surveillance, and it is not a black box passing private judgements. We built it specifically to avoid all of that. For context on how AI is being applied in professional education more broadly, our executive's guide to AI covers the wider picture.

What it actually uses

Instead, it uses the ordinary academic information a course already produces, the kind any teacher records in the normal run of teaching. That means attendance, the work students hand in, the confidence they report in their own weekly module feedback, and the feedback teachers give. This is data that is collected anyway and is visible in the normal course of study. We are not gathering anything hidden. We are simply paying closer, earlier attention to what is already there.

The teacher decides, not the algorithm

This matters most: our AI does not make decisions about students. It surfaces an early signal, and a human tutor decides what to do with it. The judgement, the conversation and the support all come from a person who knows the student. The technology points the tutor towards someone who might need help sooner. It never replaces the tutor.

Handled responsibly, shared with care

Student information is handled responsibly, and progress is shared with care. Where we share reports with parents or guardians, we do so for younger learners or with the student's consent, not by default. Transparency is part of the design, because a system meant to support students only works if students and families trust it.

In summary

Used carelessly, AI in education can drift into profiling and surveillance. We deliberately built ours to do the opposite: to use routine, visible academic data to help a teacher support a student earlier, with the human always in charge and trust at the centre. Read how we use AI to support every student, or why we catch student weakness in week three, not week eight.