Google’s Approach to Protecting Privacy in the Age of AI

AI products introduce new privacy challenges. Finding the right privacy solution is central to developing innovative products, especially as AI models increasingly handle user data. In this paper, we propose a framework to reason about privacy in AI, and discuss how Privacy Enhancing Technologies (PETs) enable novel user experiences by reducing privacy risks in the AI development lifecycle. We argue that privacy protections are not inherently at odds with utility; in contrast, we discuss how building privacy into products from the start can create better, more trustworthy experiences for everyone.