A new framework from Google AI Research provides a systematic method for auditing machine unlearning. It verifies if specific data points were actually removed from a model's weights without retraining from scratch. This approach addresses critical privacy compliance needs. Developers can now quantify unlearning success using these standardized metrics instead of relying on heuristic guesses.