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

Fuente: arXiv
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Auteur principal: Laurelli, Michele
Format: Preprint
Publié: 2024
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author Laurelli, Michele
author_facet Laurelli, Michele
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_14603
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Brain Surgery: Ensuring GDPR Compliance in Large Language Models via Concept Erasure
Laurelli, Michele
Artificial Intelligence
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.
title Brain Surgery: Ensuring GDPR Compliance in Large Language Models via Concept Erasure
topic Artificial Intelligence
url https://arxiv.org/abs/2409.14603