Read-out microlearning · Scenario check
Safe AI Use: Data Privacy
A read-aloud microlearning on what staff can share with AI tools, which tools to use for what, and how to respond to a data leak.
The challenge
Policy documents on AI and data were long, legal and unread, while staff were pasting customer details into public chatbots. The content had to be short, plain-language and usable by everyone, including people who prefer to listen or need larger text.
My approach
- A green, amber and red traffic light that turns a policy into one decision staff can make in seconds.
- Section-by-section read-aloud using the browser's own speech engine, with the section being read highlighted, plus "Listen to all".
- Adjustable text size, reading progress, keyboard focus styles, and a graceful fallback when speech isn't available.
- A before-and-after example of stripping personal data, and a printable one-page summary.
- Results broken down by objective, with links back to the section to review.
Objectives and how each is assessed
| Learning objective | Assessment |
|---|---|
| Classify information as safe or unsafe for public AI tools. | 5 "safe to paste or not?" scenarios |
| Choose an approved tool and know its limits. | 3 tool-choice scenarios |
| Respond correctly to an AI-related data leak. | 2 incident scenarios; pass mark 8 of 10 |
Results and reflection
Add pilot results, reviewer quotes or what you would do differently next time.