AI Privacy Fundamentals

Relax. We'll talk through this in plain words — no textbook voice.

What you'll walk away with

Understand AI Privacy Fundamentals without any of the intimidation
Get hands-on practice trying it yourself
Learn to spot — and smile past — the easy-to-make mistakes

Learn how to handle privacy, secrets, retention, access control, and logging before data goes into an AI application.

Let's think about it this way for a second

AI privacy isn't just about having a privacy policy page. You need to answer, right at the system design stage, what data you're collecting, why you need it, which provider it goes to, how long it's kept, and who can see it.

AI Privacy Fundamentals lesson illustration — Agents, Privacy, and Project — AI Privacy Fundamentals

Let's connect this to everyday life

Practice data minimization — don't send more than what's needed. Redact sensitive fields like passwords, API keys, health records, and ID numbers. If you log prompts and responses, define access, retention, and a deletion process for them.

Build a data inventory and define its purpose
Redact sensitive fields
Use encryption and least-privilege access
Write a retention/deletion policy
Give users a clear notice

Let's try it hands-on together

text

မပို့သင့်: password, API key, card number, private ID
စစ်ပြီးပို့: email, phone, address, health or legal data
ပို့နိုင်: အလုပ်အတွက်မဖြစ်မနေလိုပြီး user သိရှိသဘောတူထားသော data

You should see

You'll be able to write a privacy checklist and data flow for an AI feature.

5-minute try-it

For an AI résumé reviewer, write out what data it accepts, what gets stripped out, how long it's kept, and how users are notified about all of it.

A quick word of caution

Don't treat AI output as the final word. Have a human review anything important — including code and user data — before it's actually used.

OpenAI — Data controls — OpenAI

Easy traps

Leaving an API key public because it "isn't personal data"
Storing sensitive prompts in debug logs with no limit

Exercise

For an AI résumé reviewer, write out what data it accepts, what gets stripped out, how long it's kept, and how users are notified about all of it.

You'll know it worked when: You'll be able to write a privacy checklist and data flow for an AI feature.