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[P+S] Primary & Secondary Credibility and Verification

Privacy-First AI Use When Voice Is Always On

Voice features make AI use feel effortless. They also make privacy boundaries easier to cross accidentally. Students may not notice what was captured in a transcript. That is why we need explicit routines, not vague warnings.
Classroom Strategy

Teach anonymise before you analyse. Before anything generated or transcribed becomes school work, it must pass through evaluation and verification.

  • Give students a short sample paragraph containing names and sensitive detail
  • Students practise converting it to Student A or B language
  • Discuss what still feels identifying after anonymising and why
  • Make this a class skill, like citing sources, required before any tool use
A Four-Step Classroom-Safe Response

When voice-captured content contains identifying information, a consistent four-step response keeps the situation teachable rather than punitive.

  • Pause and anonymise: replace names with Student A or B, remove identifying details
  • Rebuild the evidence base: shift to a class-approved evidence pack and redo any evaluation in class
  • Secure evidence point: ask for a 90-second explanation, one evaluation decision and one verification step
  • Reset the class rule: no personal data or identifiable content entered into any tool
Primary

Teach anonymise before you analyse as a class routine from the start of the year. Students practise converting real-context text into Student A or B language. Make it normal, not reactive.

Secondary

Before anything generated or transcribed becomes school work, it must pass through evaluation and verification. You are not just correcting a mistake. You are teaching a workflow that will still matter when tools change again.

Decision Checkpoint

Are students clear on what must never be entered into any tool, and do your routines make that boundary easy to follow consistently?

Governance Reminder

Privacy is a citizenship and wellbeing issue, not just a policy one. Convenience does not cancel responsibility. Teach and model privacy routines for everyone, every time, not only when something goes wrong.

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