Privacy Engineering at Carnegie Mellon

We live in am AI-powered data economy. Nearly every product, service or process with which we interact collects and processes some data about us. This data goes on to feed machine learning algorithms designed to predict our tastes, our habits, our future behaviors, or future possible health ailments and more. It is consumed by AI Agents that assist us with diverse tasks, whether at work or in our private lives. Along with this increasing dependence on personal data, we have seen the emergence of increasingly stringent regulations designed to keep organizations that collect and process our data accountable. Regulations such as GDPR and CCPA - and a growing patchwork of state and international privacy and AI laws - also come with steep penalties for organizations that fail to meet their requirements. These developments have, in turn, created unprecedented demand for professionals capable of operating at the intersection of law and technology and led to the emergence of Privacy Engineering (a field whose professional association has doubled to 120,000+ members in recent years) as a highly desirable career and one for which there is a significant shortage today - with privacy engineers commanding average salaries of $136,000 acording to IAPP.