AI, Privacy and Personal Data

Course contents (13 parts)

1. 1

   Pre-course assessment

   Check your starting knowledge before learning

2. 2

   Our approach to responsible AI

   Lesson video

3. 3

   Recognize Information That Can Identify a Person

   Distinguish direct identifiers, linkable information, and sensitive data before choosing an AI tool.

4. 4

   Define the Purpose and Check the Basis for Use

   Start with the reason for the task and the authority supporting it, not tool convenience.

5. 5

   Minimize Data to What the Task Needs

   Use sample data or mask identifiers where possible, and watch for re-identification.

6. 6

   Consider Transparency and Data Subject Rights

   Review notices, expectations, and channels for data-related requests.

7. 7

   Create Approval and Review Steps for AI Use

   Assign owners, record use appropriately, and define signals for stopping or escalating.

8. 8

   Applied case study and evidence review

   Prepare a request-topic dataset while minimizing personal data

9. 9
   Document0 points1 min

   Course study guide

   A practical guide to the course lessons, with Thai and English editions.

10. 10
    Document0 points1 min

    Practical workbook

    Course-based exercises for review and planning a small real-world trial.

11. 11
    Document0 points1 min

    Quick reference

    A concise reference to course topics and review points for use while working.

12. 12
    Document0 points1 min

    Implementation planner

    A template for connecting course topics to goals, owners, and evidence of results.

13. 13

    Post-course assessment

    Review key concepts and apply them to practical situations