Earning Money with AICoreEARN-AI-008
Protect client data and reuse rights
Minimise data, agree permissions and choose a safe review and deletion process.
- Difficulty
- 2 / 5
- Importance
- 4 / 5
- Study time
- 0.5–1 h
- Kind of work
- Practice
Why it matters
Client trust depends on what you collect, where it goes and whether you have permission to use it.
Where it is used
Write a data-handling checklist covering purpose, minimum fields, approved tools, access, retention, deletion and incident response.
How you know you have learned it
Complete the scenario checks, explain the decision in your own words, and produce this artifact: Write a data-handling checklist covering purpose, minimum fields, approved tools, access, retention, deletion and incident response.
Trace each data handoff
The diagram loads as you scroll. Its values and worked example are available below.
Worked example
You need to demonstrate a support-ticket classifier before the client has approved a tool.
- Create synthetic tickets that do not copy real identities or confidential events.
- Test the classification format and review process with those samples.
- Document the proposed data fields and destination for client approval before using real records.
- A synthetic demonstration tests the workflow while the real-data transfer remains unapproved.
Your turn
Removing names from tickets makes them safe to publish, correct?
Reveal answer
Not necessarily. Dates, addresses, unusual events and combinations of details can identify people. Check context and permission; use synthetic examples for public demonstrations.
Build the fundamentals behind the work
Start here for a practical offer. Use the other worlds when you want to understand models, check your numbers or build deeper expertise.
- Mathematics: percentages, costs, probability and the maths behind models.
- AI & ML: how models work, how to evaluate outputs and where they fail.
- Physics: measurement, units, energy and the physical systems behind technical projects.