01
Data classification basics
Public · internal · confidential · restricted, and what each one means for AI tool use.
Pillar 06
Data, Privacy & Confidentiality
Protect sensitive data in every AI workflow, because a careless paste can’t be taken back.
You are here · pillar 06 of 07
Data & Privacy
← Application · Future Readiness →
A working definition
What this pillar is, what it isn’t, and why it matters.
What it is
+
Knowing what’s safe to paste, and what isn’t.
The practical difference between enterprise and consumer tools, what ‘used for training’ actually means, and the data-handling habits to have in place before your first day at work.
What it isn’t
−
A compliance training module.
Annual privacy compliance isn’t enough, AI tools introduce new failure modes that don’t map cleanly onto existing data classification policies.
Why it matters
→
One careless paste can cost a graduate a job and a company a client.
This is the pillar where mistakes are most visible and least recoverable. Hearing the rules once isn’t enough. The right defaults need to be habits before your first job.
48%
of employees in a 47-country study say they’ve uploaded company information, such as financial, sales or customer data, into public AI tools (University of Melbourne and KPMG, Trust, Attitudes and Use of AI: A Global Study 2025).
What’s inside this pillar
The sub-skills the assessment is actually measuring.
Each pillar breaks into 4 sub-competencies. The assessment scores each one independently so you can see what to work on, not just an overall band.
02
Enterprise vs. consumer AI
What the privacy & training-data difference actually is, with practical defaults for each setting.
03
PII, PHI, and trade secrets
Categories of data that should never enter a public model, and the patterns to recognize them quickly.
04
Audit trails and accountability
Why keeping a record of what you sent to which model matters, and how to do it without overhead.
Try a sample
A real question from this pillar.
The full assessment has 39 of these for Pillar 06. There’s no time limit and you can pause anytime.
Sample · 1 of 39
You’re asked to paste customer support transcripts into an AI tool to find themes. What is the safest approach?
One correct answer
Proficiency levels
Where the assessment will place you, and where to aim.
“Proficient” is the workplace-ready bar we set. Each pillar is scored independently, so you can see exactly where you’re strong and where to start.
Level 01
Novice
Limited working knowledge. Outcomes are unreliable and depend on luck.
Score · 0–49%
Level 02
Developing
Foundational fluency. Can complete simple tasks; struggles in novel contexts.
Score · 50–74%
Level 03
Proficient
Workplace-ready. Handles real tasks at expected quality with light oversight.
Score · 75–89%
Level 04
Advanced
Expert practice. Sets standards for peers, anticipates failure modes, adapts quickly.
Score · 90–100%
Reading list
All articles →
To go deeper on this pillar
Start with the assessment
Find out where you stand across all 7 pillars.
The free AI Literacy Assessment scores you independently on each pillar and shows you exactly where to focus next.
✓
10 minutes · No email required to see results