Anonymization
Domain: Safety & Ethics
🎯 Motivation
Removing personally identifiable information from data before using it for training.
📋 Concrete Example
Before training: ‘Alice Smith, 16, Hong Kong, likes Python.’ After anonymization: ‘Student A, ~16, Asia, likes coding.’ Identity removed, useful patterns kept.
🔗 Analogy
Removing name tags from uniforms before donating - the new owner does not know who wore it. Anonymization removes identity from data.