Foundation Models, Synthetic Data, and the Privacy Trade-Off

This week’s sources converge on a practical point: foundation models and synthetic data may reduce direct reliance on raw personal data, but they do not remove privacy risk. The real shift is from collection-time privacy controls to full-lifecycle governance covering training, auditing, release decisions, and post-deployment monitoring.