Which principle requires data to be used in a way that respects the original context of its collection?

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Contextual integrity is the idea that information should flow in ways that align with the context in which it was collected. It means data collected for a specific purpose should be used within the same context and according to the expectations of the people involved, preserving the original purpose and social norms. For example, data gathered during a medical visit should be used to support care and administrative tasks within the healthcare setting, not repurposed for unrelated marketing unless clear consent is given. This focus on context helps prevent repurposing data in ways that would surprise or harm the person who shared it, maintaining trust and privacy. Data minimization is about limiting how much data is collected, not necessarily ensuring it’s used only in the original context. Autonomy emphasizes individual control and consent, but it’s broader than respecting the context of data use. Explainability deals with making AI decisions transparent, not with how data flows within its original context.