让本地大模型实时删除隐私数据，满足GDPR要求
Brain Surgery: Ensuring GDPR Compliance in Large Language Models via Concept Erasure
- 用嵌入干扰提示实现精准数据删除
- 支持实时隐私管理与持续学习
- 适合关注隐私合规的AI开发者
随着大规模AI系统普及，确保符合《通用数据保护条例》（GDPR）等数据隐私法规变得至关重要。本文提出Brain Surgery，一种使每个本地AI模型具备GDPR合规能力的革新性方法，支持实时隐私管理和目标化遗忘。该方法基于嵌入干扰提示（ECO Prompts）、基于区块链的隐私管理以及隐私感知的持续学习等先进技术，提供可部署于多种AI架构的模块化解决方案。该工具不仅保障隐私法规合规，还赋予用户自定义隐私边界的能力，开创AI伦理与治理的新范式。
原文摘要 · Abstract (English)
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.
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