AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 237 · 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.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
2. 2.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) test on many groups (d) test on one group only
3. 3.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) copy old unfair choices (d) skip testing
4. 4.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
5. 5.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
6. 6.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
7. 7.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
8. 8.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
9. 9.True or false: “check who is missing” helps reduce bias. (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) ask different people (d) fix wrong labels
11. 11.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
12. 12.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
13. 13.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
14. 14.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) check who is missing
15. 15.True or false: “fix wrong labels” adds to bias. (a) True (b) False
16. 16.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
19. 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
20. 20.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
21. 21.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
22. 22.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) add varied examples (d) check who is missing
23. 23.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) balance the data (d) add more of the same
24. 24.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
25. 25.True or false: “ignore complaints” adds to bias. (a) True (b) False
26. 26.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
27. 27.True or false: “ask different people” helps reduce bias. (a) True (b) False
28. 28.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) fix wrong labels (d) add more of the same
29. 29.True or false: “ask different people” adds to bias. (a) True (b) False
30. 30.True or false: “skip testing” adds to bias. (a) True (b) False
31. 31.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) add varied examples (d) use one group only
32. 32.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
33. 33.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) add more of the same (d) test on many groups
34. 34.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
35. 35.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
36. 36.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
38. 38.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) balance the data (d) use one group only
39. 39.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) test on one group only (d) ask different people
40. 40.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) fix wrong labels (d) use one group only

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