A new framework from Google AI Research provides a systematic method for auditing machine unlearning. The approach verifies if specific training data was successfully removed without degrading overall model performance. This technical deep-dive addresses the gap between claiming data deletion and proving it. Practitioners can now validate privacy compliance with higher mathematical certainty.