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Learn how Meta leverages Generative AI and automation to streamline privacy implementation workflows at scale in this 12-minute conference presentation. Discover Meta's approach to deploying purpose-limitation technology through automated workflows that help developers navigate complex privacy domain knowledge and platform expertise requirements. Explore the architecture behind Meta's key Privacy Workflows, including asset annotation systems, data flow review processes, and regression prevention mechanisms. Understand how Generative AI accelerates developer decision-making at each stage of privacy solution implementation, enabling scalable deployment of privacy technologies across Meta's vast operational environment. Gain insights into building durable privacy solutions through AI-assisted workflows that reduce the technical barriers typically associated with implementing comprehensive privacy protections in large-scale systems.
Syllabus
PEPR '25 - Using GenAI to Accelerate Privacy Implementations
Taught by
USENIX