AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 130 · 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.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
2. 2.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) skip testing (d) add varied examples
3. 3.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) test on many groups (d) fix wrong labels
4. 4.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) test on one group only (d) add varied examples
5. 5.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
7. 7.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) ask different people (d) add varied examples
8. 8.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
10. 10.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
11. 11.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) use one group only (d) skip testing
12. 12.Which of these adds to bias? (a) test on many groups (b) balance the data (c) add more of the same (d) fix wrong labels
13. 13.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) balance the data (d) skip testing
14. 14.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
15. 15.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) fix wrong labels (d) copy old unfair choices
16. 16.🗣️ 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) the phone was new (d) children speak too fast
17. 17.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
18. 18.Which of these helps reduce bias? (a) test on many groups (b) test on one group only (c) ignore complaints (d) add more of the same
19. 19.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) test on one group only (d) copy old unfair choices
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
21. 21.True or false: “ask different people” helps reduce bias. (a) False (b) True
22. 22.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
23. 23.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
25. 25.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
26. 26.True or false: “add more of the same” helps reduce bias. (a) True (b) False
27. 27.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) ignore complaints (d) use one group only
28. 28.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) ignore complaints (d) add varied examples
29. 29.Which of these adds to bias? (a) test on many groups (b) skip testing (c) balance the data (d) check who is missing
30. 30.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
31. 31.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
32. 32.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
33. 33.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) ask different people (d) check who is missing
34. 34.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
35. 35.True or false: “use one group only” helps reduce bias. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) copy old unfair choices (d) test on one group only
37. 37.True or false: “add varied examples” helps reduce bias. (a) True (b) False
38. 38.True or false: “balance the data” adds to bias. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) use one group only (d) fix wrong labels
40. 40.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False

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