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Explore approaches and challenges to purpose limitation in data privacy through this 14-minute conference talk from PEPR '24. Dive into Meta's technical solutions for addressing purpose limitation at scale, including the use of annotations to represent data aspects and apply policy checks across data flows. Learn about key concepts and workflows for maintaining continuous asset discovery, reviewing data flows, applying annotations, and iteratively traversing data flow graphs to identify and resolve issues. Examine the challenges in translating purpose limitation restrictions to code, data, and systems, handling different data granularities, managing conditional data flows, and implementing these technologies at large companies like Meta. Gain valuable insights into the fundamental principle of data privacy and its practical application in diverse data use scenarios.
