Meta's Hybrid LLM‑Human Pipeline Classifies Data Assets for Scalable Privacy Controls
Meta announced a hybrid system that pairs LLM‑driven interpretation with human‑reviewed, versioned rules to classify any data asset—from table columns to embeddings—across its AI‑native stack. The pipeline delivers precise, low‑latency privacy enforcement (retention, access, purpose, sharing) while keeping humans in the loop for novel or ambiguous cases, turning noisy signals into auditable compliance evidence.