Synthetic Data Governance Moves From Principle to Control Layer

Recent research and framework proposals show synthetic data governance moving from broad principles to concrete controls. The sources emphasize clearer guidelines, auditable generation, privacy-preserving workflows, and stronger privacy evaluation methods that go beyond simple anonymity claims.