Privacy-enhancing technologies, like homomorphic encryption, AI-generated synthetic data, and federated learning support privacy enhancing processes and can help meet data protection challenges.
Synthetic data generation (SDG) is rapidly emerging as a practical privacy enhancing technology (PET) for data sharing by generating non-identifiable datasets that can be used and disclosed without the legislative need for additional consent given that these datasets would not be considered personal information.
