Generative AI challenges the right to be forgotten. Large language models don’t store data as static records, they memorize patterns. Removing personal data isn’t as simple as deleting a row in a spreadsheet. Enter machine unlearning: emerging methods let AI models “forget” specific data without full retraining. Techniques like Example-Tied Dropout (ETD) and Redirection for Erasing Memory (REM) are enabling certified, auditable erasure while respecting computational limits. T