Trust depends on context.
Many AI tools process data on external servers. This raises questions about storage, access, and reuse. While providers often claim safeguards, users should assume that anything submitted could be logged or analyzed.
For sensitive information, caution is essential. Anonymization, internal tools, or on-device models reduce risk, but no system is entirely risk-free.
Trusting AI isn’t about fear—it’s about informed boundaries. Knowing when not to use AI is just as important as knowing when it helps.
