Most AI privacy advice focuses on secrets:
Don't share passwords
Don't upload confidential files
Don't expose API keys
That's good advice.
But I think it misses the more interesting question.
What if the biggest privacy risk isn't disclosure?
What if it's inference?
Imagine telling an AI these things over several months:
You're learning German
You're comparing housing prices in Berlin
You're updating your résumé
You're researching visa requirements
None of these facts is sensitive.
None of them explicitly says:
"I'm planning to move to Germany."
Yet most humans would reach that conclusion.
Modern AI systems can do the same.
Not because you revealed a secret.
But because you created a pattern.
This raises a different privacy question:
What can AI learn about me that I never explicitly told it?
I recently wrote an open-source article exploring:
Profiling
Shadow Profiling
AI Inference
Cloud vs Local AI
Behavioral Data Economics
Full article: