Reducing Privacy leaks in AI: Two approaches to contextual integrity
As AI agents become more autonomous in handling tasks for users, it’s crucial they adhere to contextual norms around what information to share—and what to keep private. The theory of contextual integrity frames privacy as the appropriateness of information flow within specific social contexts. Applied to AI agents, it means that what they share should fit the situation: who’s involved, what the information is, and why it’s being shared.
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