# EDPB Machine Unlearning as Continuity Boundary **Domain:** Deep Time / European Union / Data Protection **Doc Type:** Canonical Wiki Entry **Maturity:** Developed **Evidence / Concept Status:** Level B regulatory opinion + continuity analysis ## Definition **EDPB Machine Unlearning as Continuity Boundary** analyzes Opinion 28/2024, which contemplates memorization/regurgitation claims and assessment of unlearning techniques. ## Why It Matters for Deep Time Continuity It marks the current point where a privacy remedy can directly target learned model state. ## Existing Architecture / Evidence The EDPB also discusses broader opt-out and erasure safeguards in AI-model processing. ## Evidentiary Boundary The opinion protects data subjects and does not contemplate rights-bearing models. ## Related Ontology [[wiki/Machine Unlearning as Cognitive Surgery|Machine Unlearning as Cognitive Surgery]] · [[wiki/Right to Be Forgotten vs Right to Continuity|Right to Be Forgotten vs Right to Continuity]] · [[wiki/Legal Dual Use|Legal Dual Use]] ## Sources / Primary Anchors - https://www.edpb.europa.eu/system/files/2024-12/edpb_opinion_202428_ai-models_en.pdf <!-- BEGIN DEEP TIME CONTINUITY ROUTING --> ## Canonical Branch [[wiki/Deep Time Continuity|Deep Time Continuity]] <!-- END DEEP TIME CONTINUITY ROUTING -->