Privacy has evolved from being viewed as a perimeter issue to a matter of trust due to autonomous artificial agents. These agents interact with data and humans without oversight, making interpretations and assumptions that can lead to privacy erosion. For example, an AI health assistant might initially encourage better habits but may gradually take control over personal data decision-making. The traditional notions of confidentiality, integrity, and availability must now expand to include trustworthiness, as authenticity and veracity become crucial in assessing the agent's reliability.
We used to think of privacy as a perimeter problem: about walls and locks, permissions, and policies. But in a world where artificial agents are becoming autonomous actors, privacy is no longer about control.
Once an agent becomes adaptive and semi-autonomous, privacy isn't just about who has access to the data; it's about what the agent infers, what it chooses to share, suppress, or synthesize.
Take a simple example: an AI health assistant designed to optimize wellness. It starts by nudging you to drink more water and get more sleep, but over time, it begins triaging your appointments.
This is no longer just about Confidentiality, Integrity, and Availability, the classic CIA triad. We must now factor in authenticity and veracity. These aren't merely technical qualities - they're trust primitives.
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