Privacy

Privacy is about boundaries, consent, and control over personal information. As AI systems process more data, protecting identity and context becomes essential.

Data collection choices shape downstream risk. What is gathered, retained, and shared can affect individuals long after an interaction ends.

Responsible systems minimize data exposure, limit unnecessary retention, and make data practices understandable. Privacy should be designed in from the start, not patched in later.

In practice, privacy means respecting people as more than data points. Trust grows when systems are transparent, proportional, and accountable in how information is handled.