Brain Surgery: Ensuring GDPR Compliance in Large Language Models via Concept Erasure
This addresses data privacy compliance for users and organizations deploying AI, though it appears incremental as it builds on existing techniques like ECO Prompts and blockchain.
The paper tackles the problem of ensuring GDPR compliance in large-scale AI systems by introducing Brain Surgery, a methodology for real-time privacy management and targeted unlearning, resulting in a modular solution that enables user-defined privacy limits and compliance with regulations.
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.