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papersTODAY 04:00 UTC

Paper Proposes Auditable Method for Verifying Deletion of Stored Facts in AI Models

The paper installs a support-vector gate inside a frozen Gemma 3 model and records which stored keys and values correspond to each exchange, allowing a deletion request to be traced to specific memory entries. It argues that an assistant can stop repeating a fact without actually removing it, so the work separates genuine deletion from mere output suppression. The authors present this as a step toward deletion requests that can be audited rather than taken on trust.

Gemma 3 AI auditing AI transparency data-deletion machine-unlearning right-to-be-forgotten

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLCan an AI Assistant Really Forget? Auditable Deletion from Addressable Memory ↗TODAY 04:00 UTC

arXiv cs.LGCan an AI Assistant Really Forget? Auditable Deletion from Addressable Memory ↗TODAY 04:00 UTC