Privacy in AI-Powered Learning: Principles, Practice, and Trust
May 9, 2025By S. Khan · Privacy & Compliance
Parents and institutions want both safety and outcomes. You can have both with the right engineering and policy.
This article explains practical safeguards and how Kuizzo approaches privacy by design.
Data Minimization
Collect only what is necessary for learning outcomes; make deletion self-serve.
Edge and Federated Learning
Personalize without centralizing sensitive raw data wherever possible.
Transparent Controls
Clear toggles for parents and admins build trust and meet regulations.