Synthetic data is frequently hailed as enabling AI development without the privacy risks. But is that true? This panel will explore how legal and statistical concepts of anonymisation apply to synthetic data. Panellists will discuss whether the concept of anonymisation is a binary or a spectrum, where synthetic data fits within that, and what methods are available to quantify the identifiability of synthetic data. The panel will also explore the concept of privacy-preserving data and whether this concept has a role in reducing the risk of AI.
