AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 358 · 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.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
2. 2.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
3. 3.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) fix wrong labels (d) use one group only
4. 4.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
6. 6.Which of these adds to bias? (a) test on many groups (b) ask different people (c) add more of the same (d) balance the data
7. 7.Which of these helps reduce bias? (a) add varied examples (b) skip testing (c) ignore complaints (d) test on one group only
8. 8.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) use one group only (d) ignore complaints
9. 9.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
10. 10.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
11. 11.Which of these helps reduce bias? (a) test on many groups (b) add more of the same (c) use one group only (d) ignore complaints
12. 12.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
13. 13.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) fix wrong labels (d) test on many groups
14. 14.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
15. 15.True or false: “test on one group only” helps reduce bias. (a) False (b) True
16. 16.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
17. 17.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) test on many groups (d) balance the data
19. 19.True or false: “check who is missing” helps reduce bias. (a) True (b) False
20. 20.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
21. 21.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
22. 22.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) ask different people
23. 23.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) ask different people (d) add varied examples
24. 24.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
25. 25.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) check who is missing (d) use one group only
27. 27.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
28. 28.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) test on one group only (d) fix wrong labels
29. 29.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) skip testing
30. 30.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
32. 32.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
33. 33.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
34. 34.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) use one group only (d) test on one group only
35. 35.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
36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
37. 37.True or false: “skip testing” helps reduce bias. (a) True (b) False
38. 38.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) test on one group only (d) ignore complaints
39. 39.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
40. 40.True or false: “copy old unfair choices” adds to bias. (a) False (b) True

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