AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 370 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
2. 2.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) check who is missing (d) use one group only
3. 3.True or false: “balance the data” adds to bias. (a) False (b) True
4. 4.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) skip testing (d) ignore complaints
5. 5.Which of these adds to bias? (a) test on one group only (b) ask different people (c) check who is missing (d) add varied examples
6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
7. 7.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) ask different people (d) use one group only
8. 8.True or false: “test on many groups” helps reduce bias. (a) True (b) False
9. 9.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
10. 10.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
11. 11.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
12. 12.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) add varied examples (d) add more of the same
13. 13.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
14. 14.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
16. 16.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
17. 17.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) add more of the same (d) test on one group only
18. 18.True or false: “add varied examples” adds to bias. (a) False (b) True
19. 19.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
20. 20.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) use one group only (d) add varied examples
21. 21.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) fix wrong labels (d) check who is missing
22. 22.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
23. 23.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
24. 24.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) test on one group only (d) ignore complaints
25. 25.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
26. 26.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
27. 27.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
29. 29.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.Which of these helps reduce bias? (a) balance the data (b) ignore complaints (c) test on one group only (d) add more of the same
31. 31.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
32. 32.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) add more of the same
33. 33.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) test on one group only (d) ignore complaints
36. 36.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
37. 37.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
38. 38.Which of these helps reduce bias? (a) fix wrong labels (b) use one group only (c) copy old unfair choices (d) add more of the same
39. 39.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
40. 40.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias

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