AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 789 · 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.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
2. 2.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
4. 4.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
5. 5.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) use one group only (d) check who is missing
6. 6.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) balance the data (d) fix wrong labels
7. 7.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
8. 8.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) copy old unfair choices (d) use one group only
10. 10.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) ask different people (d) test on one group only
11. 11.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) ask different people (d) add more of the same
12. 12.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) copy old unfair choices (d) ignore complaints
13. 13.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
14. 14.True or false: “ask different people” adds to bias. (a) False (b) True
15. 15.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
17. 17.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) test on one group only (d) ask different people
18. 18.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) test on many groups (d) fix wrong labels
19. 19.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
20. 20.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
21. 21.Which of these adds to bias? (a) balance the data (b) add varied examples (c) copy old unfair choices (d) ask different people
22. 22.Which of these adds to bias? (a) fix wrong labels (b) add more of the same (c) add varied examples (d) check who is missing
23. 23.True or false: “test on many groups” helps reduce bias. (a) True (b) False
24. 24.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
26. 26.Which of these adds to bias? (a) ignore complaints (b) check who is missing (c) balance the data (d) fix wrong labels
27. 27.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
28. 28.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
29. 29.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
30. 30.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) fix wrong labels (d) add more of the same
32. 32.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
33. 33.True or false: “add more of the same” helps reduce bias. (a) True (b) False
34. 34.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
35. 35.True or false: “add varied examples” adds to bias. (a) False (b) True
36. 36.True or false: “balance the data” helps reduce bias. (a) True (b) False
37. 37.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
38. 38.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) use one group only (d) check who is missing
39. 39.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
40. 40.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data

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