Most AI systems store training data indefinitely. Under GDPR, this is a €20M mistake waiting to happen.
Data hoarding is a liability. The old mindset of "save everything, we might need it" is dangerous under GDPR.
#The Problem
Models trained on personal data might "memorize" that data. If a user exercises their Right to be Forgotten, can you remove their data from your MODEL?
#Machine Unlearning
This is the new frontier. If you can't surgically remove a user's influence from your weights, you might have to retrain the entire model from scratch. That's expensive.
#Strategies
* Anonymization First: Train on anonymized data whenever possible. * Strict Retention Policies: Automate deletion of raw user data after X days. * Model Versioning: Be prepared to roll back or retrain if a privacy request hits a core dataset.
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