Data Minimisation in Generative AI Is Not a Principle. It Is a Chain.
中文摘要
本文指出生成式AI的数据最小化是贯穿抓取、训练与日志的链条，需在各环节设计并证明仅使用必要数据。
English Summary
Generative AI data minimization is a continuous chain requiring practical design across scraping, training, and logging to ensure only strictly necessary data is processed and evidenced.
原文节选
How to design, enforce and evidence “only what is necessary” across scraping, training, context assembly and logging — the way I teach it… Continue reading on Medium »