Data Privacy
Category: Data“DAY-tuh PRY-vuh-see”
Keeping personal or confidential information out of places it shouldn't go — including AI tools.
Lesson #5: Trust, Risk & Running AI Responsibly →A locked filing cabinet: not everything belongs on the open counter.
Not pasting your Social Security number into a chatbot.
Stripping client addresses out of job notes before an AI summarizes them.
Using a business AI account so customer records aren't used to train outside models.
One careless paste can turn private data into a permanent leak you can't undo.
Data privacy is keeping sensitive info out of the wrong hands and tools.
Look at your last AI prompt. Would you be comfortable if it appeared in a public post?
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Exercises by category
- Agents0/21 · 0%
- Models0/10 · 0%
- Data0/11 · 0%
- Infrastructure0/22 · 0%
- Fundamentals0/15 · 0%
- NobleHub0/20 · 0%
Next badge: First Nail — 1 more exercise
Related terms
Picked automatically from the same category and the ideas this term shares.
Hand-picked pair
The information an AI studied in order to learn.
Hand-picked pair
The rules and controls over what an AI is allowed to remember about you and who can see it.
Hand-picked pair
The written rules for who may use AI at your organization, for what, and who is accountable when it goes wrong.
Same category: Data
Information being quietly moved out of your systems to somewhere it doesn't belong.
Same category: Data
Automatically stripping out personal details — names, addresses, card numbers — before text is stored or sent to an AI.
Same category: Data
When an AI's answers unfairly favor one group or view because the data it learned from leaned that way.
See it in Python
Truth Code: Python lessons that use this idea in real code.