AI for Social Impact: Digital Skills for Good

Course contents (12 parts)

1. 1

   Pre-course assessment

   Check your starting knowledge before learning

2. 2

   Our approach to responsible AI

   Lesson video

3. 3

   Listen to the community first

   Understand the issue and the people affected before considering technology.

4. 4

   Define tangible benefits

   Separate system outputs from outcomes for people.

5. 5

   Design for inclusive use

   Test language, accessibility, and risks that may disadvantage some groups.

6. 6

   Protect data and trust

   Set risk-appropriate rules for collecting, using, sharing, and deleting data.

7. 7

   Experiment and evaluate together

   Start with a small prototype and measure benefits, harms, and sustainability before scaling.

8. 8

   Applied case study and evidence review

   Design community information access with a non-digital alternative

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

    Post-course assessment

    Review the key ideas from the lessons.