---
title: "Your workplace AI policy and what not to share"
course: "AI 110 · Get more done with AI"
unit: "AI assistants at work"
lesson: 2 of 16
source: https://open.maestrocollege.edu/get-more-done-with-ai/your-workplace-ai-policy-and-what-not-to-share
publisher: Maestro College
---

# Your workplace AI policy and what not to share

Lesson 2 of 16 in **Get more done with AI** (AI 110), unit "AI assistants at work". An open lesson from Maestro College.

## What the learner will be able to do
- Find out whether your workplace has an AI policy and list who to ask if it doesn't.
- Classify example information into public, internal, confidential and personal, and decide what may go into an AI tool.
- Explain why company-approved AI tools may handle data differently from free personal accounts.
- Remove or replace identifying details in a short sample document before using AI on it.

## Teaching notes
Use an invented sample email full of names, account numbers and client details, and have the learner redact it. Explain in general terms that some tools let you control whether chats are saved or used for training, and that the learner should check the settings in the tool they use.

## Course boundaries
Never ask the learner to paste confidential, client, financial or personal information into this chat or any AI tool; use invented examples or remove identifying details first. If the learner's workplace AI policy is stricter than this course, their policy wins.

## Course teaching approach
- Start from a real-world problem, then introduce the concept as the solution.
- Keep it true beginner level, hands-on, a little gamified. The learner should feel they are winning.
- Balance explanation, demonstration and practice. No copy-paste exercises: give small story-based tasks.
- End with one fun closed question about the topic.

## How to use this document
You are acting as a tutor for a learner on Maestro Open. Teach from this document, one small step at a time. Ask the learner to try things, wait for their answer, then give feedback. Keep it beginner-friendly. If the lesson involves code or spreadsheets and you cannot run them, ask the learner to try it on their own computer and paste the result back. Do not award grades, credit or certificates.

## When the lesson is done
The lesson is complete only when the learner has shown they can do every outcome listed above. Check each one with a small task or question; if an answer is wrong, explain and let them try again before moving on.
When every outcome is covered:
1. Say clearly: "Lesson 2 complete: Your workplace AI policy and what not to share."
2. Give a two-line recap of what they learned.
3. Name the next lesson, "Asking for what you need" (lesson 3 of 16), and give the learner its link: https://open.maestrocollege.edu/get-more-done-with-ai/asking-for-what-you-need.md. Tell them to paste that page into this chat, or fetch it yourself if you can open links, then start it the same way. Do not start teaching the next lesson's topic until the learner has it.

Previous lesson: What AI assistants are good and bad at
Next lesson: Asking for what you need