Privacy Pressure Builds Across Foundation Models and Synthetic Data

Stanford HAI published a policy brief on privacy risks in foundation models, focusing on mass scraping of personal data and memorization of sensitive information. Separately, an arXiv paper reviewed synthetic data privacy metrics and outlined best practices, including differential privacy, for improving privacy protection in generative systems.