Teachers should not enter identifiable or sensitive student information into an AI service unless their institution has explicitly approved that use and the data-protection conditions are understood.
What this means in practice
Names, health information, safeguarding details, behaviour records, assessment data and family information can create privacy risks when copied into external tools.
Safer workflows use anonymised or fictional examples where possible and follow the school’s approved systems, contracts and data-handling policy.
What should you check before deciding?
- Institutional AI policy
- Data-processing terms
- Whether the information is identifiable or sensitive
- Whether an approved protected environment exists
Important distinction
Convenience does not override data-protection, safeguarding or confidentiality responsibilities.
Official sources to check
These references are included where the answer touches licensing, recognition, employment, immigration, data protection or other rules that can change. Always check the current position for your country and role.
Related LCT pathway
LCT AI courses treat privacy and professional boundaries as core AI literacy.
Explore responsible AI use