Privacy-Aware Infrastructure in the AI-Native Era: An Asset Classification Case Study
中文摘要
AI时代的隐私控制需要准确的数据分类，以确保基础设施能正确识别数据并执行访问、保留和匿名化策略。
English Summary
Effective AI-era privacy controls require accurate data classification to ensure infrastructure correctly identifies data and enforces access, retention, and anonymization policies.
Privacy controls — systems that enforce retention, access, allowed-purpose, downstream-sharing, or anonymization policies — require a reliable understanding of data to function. Before such a control can operate effectively, it must know exactly what it is looking at. This can be complex, as demonstrated by a field simply named “age“: In one context, it might [...] Read More... The post Privacy-Aware Infrastructure in the AI-Native Era: An Asset Classification Case Study appeared first on Engineering at Meta.