Brain Surgery: Ensuring GDPR Compliance in Large Language Models via Concept Erasure

TL;DR

Brain Surgery is a novel methodology that enables large language models to comply with GDPR by facilitating real-time privacy management and targeted unlearning through modular, blockchain-based techniques.

Contribution

It introduces Brain Surgery, a new approach combining embedding corruption, blockchain privacy, and continual learning to make AI models GDPR-compliant and privacy-aware.

Findings

Enables real-time GDPR compliance in AI models

Allows targeted unlearning of private data

Provides a modular, deployable privacy management framework

Abstract

As large-scale AI systems proliferate, ensuring compliance with data privacy laws such as the General Data Protection Regulation (GDPR) has become critical. This paper introduces Brain Surgery, a transformative methodology for making every local AI model GDPR-ready by enabling real-time privacy management and targeted unlearning. Building on advanced techniques such as Embedding-Corrupted Prompts (ECO Prompts), blockchain-based privacy management, and privacy-aware continual learning, Brain Surgery provides a modular solution that can be deployed across various AI architectures. This tool not only ensures compliance with privacy regulations but also empowers users to define their own privacy limits, creating a new paradigm in AI ethics and governance.