CPDP.ai 2024 The Synthetic Data Spectrum: Where Does Anonymisation Start and Privacy-preserving end?

The Synthetic Data Spectrum:Where Does Anonymisation Start and Privacy-preserving End?
Synthetic data is frequently hailed as enabling AI development without the privacy risks. But is that true? This panel will explore how legal and statis- tical 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 con- cept has a role in reducing the risk of AI.
• How anonymous is synthetic data?
• How can you assess where your data sits on that
spectrum?
• Is synthetic data useful even if it is not anonymous?
• What can we learn about identifiability of synthetic data from case law, guidance and standards?
Organised by Information Commissioner’s Office (UK)
Moderator Aoife Sexton, Truata (IE)
Speakers Clara Clark Nevola, Information Commissioner’s Office (UK); Alexandra Ebert, MOSTLY AI (AT); Gabe Menard, Office of the Privacy Commissioner (CA); Yves-Alexandre de Montjoye, Imperial College London (UK)