I invite developers, researchers, and users working with Google AI Studio to conduct an independent verification of the platform’s data deletion lifecycle and backend persistence.
Steps to Reproduce the Deletion Verification:
Create a session: Open Google AI Studio and start a new prompt / multi-turn chat session.
Delete the prompt: Trigger the deletion command on the prompt within the AI Studio user interface.
Empty the Trash: Navigate to Google Drive, locate the associated .json file in the Trash folder, and select ‘Empty Trash’ (permanent deletion).
Run recovery: After a period of time (e.g., several days), execute the official Google Drive File Recovery tool on the account.
Check AI Studio: Re-open Google AI Studio and click on the restored .json file. Observe whether the complete conversational memory, prompt context, and token history are reloaded from the backend servers.
Technical Background:
The purpose of this test is to verify whether triggering deletion in Google AI Studio executes a cascading backend purge (DELETE/DROP) on persistent storage, or merely performs a client-side disconnection by moving the frontend metadata pointer (.json) to the Trash while retaining the underlying interaction data on persistent servers.
Verifying whether data remains recoverable following explicit permanent deletion commands is an essential aspect of evaluating data lifecycle transparency and statutory compliance under GDPR Article 17 (Right to Erasure).