Synthetic data undoubtedly offer several benefits to the privacy and data protection of individuals, however, the debate regarding the extent of their use and the potential risk of re-identification renders its use controversial. Specifically, the question of whether synthetic data can be rendered pseudonymous or anonymous remains unresolved and both views have acquired supporters and […]
Data Synthesis
Synthetic data and data protection-related challenges
Synthetic data are information artificially generated by computer simulations or algorithms such as AI and ML tools, including ‚deep learning‘ methods. They are generated from real data with the goal to capture, represent and reproduce the characteristics, patterns, and structure observed in the authentic data. Although they are not real data, they allow the same […]