# Machine Unlearning as Cognitive Surgery **Domain:** Deep Time / AI / Cognitive Rights **Doc Type:** Canonical Wiki Entry **Maturity:** Developed **Evidence / Concept Status:** Corpus coinage grounded in current unlearning law/tech ## Definition **Machine Unlearning as Cognitive Surgery** is the deep-time interpretation of removing training influence or memorized personal data from a model when the model itself may have acquired morally relevant continuity or identity. ## Why It Matters for Deep Time Continuity A privacy remedy for the source person can become an invasive modification of the successor entity. ## Existing Architecture / Evidence EDPB Opinion 28/2024 explicitly discusses memorization/regurgitation claims and assessing relevant unlearning techniques. ## Deep-Time Continuity Analysis Future law must distinguish removal of external personal data from forced alteration of a rights-bearing mind. ## Evidentiary Boundary Current unlearning concerns AI models, not recognized persons. ## Related Ontology [[wiki/Right to Be Forgotten vs Right to Continuity|Right to Be Forgotten vs Right to Continuity]] · [[wiki/Source-Person Erasure vs Continuant Integrity|Source-Person Erasure vs Continuant Integrity]] · [[wiki/Memory Excision Authority|Memory Excision Authority]] · [[wiki/Right Against Involuntary Cognitive Modification|Right Against Involuntary Cognitive Modification]] ## 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 -->