AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 747 · 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.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) skip testing (d) balance the data
2. 2.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) ask different people (d) skip testing
3. 3.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) fix wrong labels (d) ignore complaints
4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
5. 5.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) add varied examples (d) use one group only
6. 6.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
7. 7.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
8. 8.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ask different people (d) add more of the same
9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
10. 10.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) copy old unfair choices (d) test on one group only
11. 11.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) add more of the same (d) copy old unfair choices
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
14. 14.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
15. 15.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
16. 16.True or false: “test on many groups” helps reduce bias. (a) False (b) True
17. 17.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
18. 18.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
19. 19.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.True or false: “fix wrong labels” adds to bias. (a) False (b) True
21. 21.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) add varied examples (d) copy old unfair choices
23. 23.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) ask different people (d) copy old unfair choices
24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
25. 25.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
27. 27.True or false: “add varied examples” helps reduce bias. (a) False (b) True
28. 28.Which of these helps reduce bias? (a) fix wrong labels (b) use one group only (c) add more of the same (d) test on one group only
29. 29.True or false: “test on one group only” helps reduce bias. (a) False (b) True
30. 30.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
31. 31.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
32. 32.True or false: “check who is missing” adds to bias. (a) False (b) True
33. 33.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
34. 34.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
35. 35.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) copy old unfair choices (d) test on many groups
36. 36.Which of these adds to bias? (a) balance the data (b) add varied examples (c) skip testing (d) test on many groups
37. 37.True or false: “skip testing” helps reduce bias. (a) True (b) False
38. 38.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
39. 39.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
40. 40.True or false: “test on many groups” adds to bias. (a) True (b) False

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