Lessons from the Tech Expert: how to make Privacy Matter with Katharine Jarmul

In this episode of Legal4Tech - The Podcast, we talk with technologist and author Katharine Jarmul to unpack what privacy by design really means for modern AI systems. Together we explore:How privacy by design evolved from early web days to the GDPR and today's LLMsWhy "state of the art" technical safeguards matter more than business convenienceConcrete ways to build privacy-first engineering cultures and avoid mere "privacy washing"Tune in to learn how to turn abstract principles into practical privacy engineering for machine learning, LLMs and agentic AI. Shownotes: Practical Data Privacy: Enhancing Privacy and Security in DataProbably Private NewsletterProbably Private Channel YTThe Privacy Engineer's ManifestoPrivacy’s Blueprint: The Battle to Control the Design of New TechnologiesSponsored by DigibeetleDigibeetle helps privacy, AI, and data professionals stay on top of EU digital law, with notifications, a daily dashboard, and powerful search across thousands of sources. Learn more at https://digibeetle.eu.