Operationalising the Right to be Forgotten in LLMs: A Lightweight Sequential Unlearning Framework for Privacy-Aligned Deployment in Politically Sensitive Environments

ArXi:2604.12459v1 Announce Type: new Large Language Models (LLMs) are increasingly deployed in politically sensitive environments, where memorisation of personal data or confidential content raises regulatory concerns under frameworks such as the GDPR and its Right to be Forgotten. Translating such legal principles into large-scale generative systems presents significant technical challenges. Experiments on the SemEval-2025 LLM Unlearning benchmark nstrate effective behavioural suppression with minimal impact on factual accuracy and fluency.