Rethinking Data Privacy in the Age of Generative AI

The article examines how generative AI reshapes data privacy and regulatory debates, arguing organizations must balance innovation with stronger governance and transparency. It highlights risks from large-scale model training and bespoke data-mining applications, recommends privacy-preserving approaches (synthetic data, federated learning), and urges proactive AI guardrails and adaptable regulation to protect sensitive data while enabling responsible AI adoption.