AIInterviewTraining logoAIInterview/Training
← AI Security, Privacy & Governance / 21
hardGoogleMicrosoftApple

What is machine unlearning, and how do you make a model 'forget' specific data?

GDPR erasure and copyright takedowns require pulling a user's influence out of trained weights, not just deleting a dataset row. The signal is knowing why deletion falls short and where retrain, SISA, and approximate scrubbing each sit on the cost-versus-proof curve.

Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.

GDPR erasure and copyright takedowns require pulling a user's influence out of trained weights, not just deleting a dataset row. The signal is knowing why deletion falls short and where retrain, SISA, and approximate scrubbing each sit on the cost-versus-proof curve.

Unlock the other 847 answers · ₹2,000 / $25Your progress and mastery stay saved · 6 months · one payment · no auto-renew
UP NEXT ON YOUR JOURNEY
Next in this trackHow do you detect out-of-distribution inputs, and why does it matter for safe deployment?Next in this trackWhat is system-prompt leaking / prompt extraction, and how do you defend against it?Next in this trackHow do you build content moderation / toxicity classification, and what makes it hard?
DISCUSSION · 0

No comments yet — be the first to share your approach.