Privacy Basics, PII, Anonymization, DPIA

This lesson introduces core privacy concepts that are essential for modern AI systems. Learners explore Personally Identifiable Information (PII), sensitive data, privacy risk assessment, anonymization, pseudonymization, and re-identification risks. The lesson also explains the purpose and structure of Data Protection Impact Assessments (DPIAs) and demonstrates how privacy-by-design principles help organizations comply with regulations while protecting individuals and maintaining trust.