AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 512 · 40 questions

AI tip (Fair data, fairer AI): Bias usually comes from the training data: if a group is missing or shown in only one way, the model copies that. One-sided data: one age group, only ripe mangoes, only adult voices, only neat handwriting. Balanced data: many ages, colours, voices, regions and styles. Reduce bias: add varied examples, check who is missing, test on many groups, fix wrong labels and listen to complaints.

1. 1.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
3. 3.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
4. 4.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) add varied examples (d) use one group only
5. 5.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) skip testing (d) test on many groups
6. 6.Which of these adds to bias? (a) add varied examples (b) ask different people (c) test on many groups (d) copy old unfair choices
7. 7.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
8. 8.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
9. 9.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) check who is missing (d) test on many groups
10. 10.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) balance the data (d) add varied examples
11. 11.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
12. 12.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) ignore complaints (d) test on many groups
13. 13.True or false: “add varied examples” adds to bias. (a) True (b) False
14. 14.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) check who is missing (d) ignore complaints
15. 15.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) add varied examples (d) test on one group only
16. 16.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
17. 17.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
18. 18.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
19. 19.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) check who is missing (d) copy old unfair choices
20. 20.Which of these helps reduce bias? (a) fix wrong labels (b) copy old unfair choices (c) skip testing (d) test on one group only
21. 21.True or false: “ignore complaints” adds to bias. (a) False (b) True
22. 22.True or false: “test on one group only” helps reduce bias. (a) False (b) True
23. 23.Which of these adds to bias? (a) check who is missing (b) balance the data (c) test on many groups (d) test on one group only
24. 24.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
25. 25.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
26. 26.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) add varied examples (d) skip testing
28. 28.True or false: “skip testing” adds to bias. (a) True (b) False
29. 29.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
30. 30.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
32. 32.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
33. 33.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
34. 34.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
35. 35.True or false: “ask different people” helps reduce bias. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) fix wrong labels (d) skip testing
37. 37.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) balance the data (d) add more of the same
39. 39.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) ignore complaints (d) copy old unfair choices
40. 40.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True

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