AI That Puts Students First.
We believe AI in education must be safe, transparent, and under human control. Every AI feature in CampusBridge is built on these non-negotiable principles.
Six Non-Negotiable AI Principles
These principles are enforced architecturally — not just as policy documents.
Transparency
Every piece of AI-generated content is clearly labelled. Parents and staff always know when they're reading machine-generated text.
Human Oversight
AI drafts require human review before publishing to students or parents. No automated delivery without staff approval.
Student Privacy
PII is pseudonymised before any external AI call. "Alex Smith" becomes "Student #A7B2" — reversed only server-side.
Fairness
Every AI output passes content moderation before delivery. Biased, harmful, or inappropriate content is blocked and logged.
Cost Transparency
Per-school real-time AI usage dashboard. Schools see exactly what they spend, set budgets, and control which features use AI.
Data Minimisation
Medical records, NDIS plans, allied health notes, and counsellor data are never sent to external AI — even pseudonymised.
How Pseudonymisation Works
Student identities are never exposed to external AI providers. The mapping lives server-side only.
Original Data
"Alex Smith"
"Year 5, Room 12"
"Mrs. Johnson's class"
Pseudonymised
"Student #A7B2"
"Group 5, Room R12"
"Teacher #T4's class"
External AI
Mapping reversed server-side on return. External AI never sees real student names.
What AI Can and Cannot Access
Clear boundaries enforced at the architecture level — not just policy.
Content Moderation Pipeline
Every AI output is checked for harmful content before it reaches students or parents.
AI generates content
Draft report comment (single or batch where enabled), assessment or online-exam marking suggestion, homework task description, cohort narrative, newsletter paragraph, or wellbeing suggestion.
OpenAI Moderation API check
Content screened for violence, self-harm, hate speech, sexual content, harassment.
Pass / Fail gate
Violations are logged and never delivered. Clean content proceeds to human review.
Human review
Staff member reviews, edits, and approves before publishing to families.
Moderation violations are logged for audit. Repeat violations trigger alerts to the school's IT admin. Content is never silently delivered.
Recognition AI — Built with Safeguards
CampusBridge uses AI to help staff write merit reasons and award nominations, and to surface equity insights for leaders. Here's how we keep it safe.
Student names never sent to AI APIs
Merit reason suggestions and nomination drafts use only the category and context provided by staff — no student names or PII are included in the AI prompt.
Human review before submission
All AI-generated merit reasons and nomination statements are clearly labelled and require staff to review and submit manually. Nothing is published automatically.
Equity insights use anonymised aggregates
Recognition equity analysis operates only on anonymised aggregate counts by cohort — individual student records are never processed by the AI model.
AI-drafted nominations are clearly labelled
Any nomination statement with AI assistance carries a visible "AI-drafted" label throughout the review and approval workflow so reviewers know the origin.
Schools Stay in Control
Every school has full visibility and control over AI usage, costs, and feature enablement.
Usage Dashboard
Real-time view of AI calls, token usage, and costs broken down by feature and user.
Budget Controls
Set monthly AI spend limits. In-app warnings as you approach the cap, then a hard stop when the allowance is reached for the period—aligned with your pilot or subscription terms.
Feature Toggle
Enable or disable AI features individually. Start conservative, expand as you build confidence.