Plug & Play: Building Privacy Controls into an AI Workflow

Privacy requirements need to translate into specific choices about what data an AI workflow collects, uses, stores, and exposes. This technical deep dive explores data minimization, sensitive-data handling, retention settings, and access controls across a representative workflow. Examine how to document data movement and test whether controls behave as intended. Attendees will gain implementation questions to bring to privacy and engineering teams when designing or reviewing an AI application.

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