AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 239 · 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.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
2. 2.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
3. 3.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
4. 4.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
5. 5.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ask different people (d) ignore complaints
6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
7. 7.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) balance the data (d) ask different people
10. 10.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
11. 11.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) skip testing (d) ask different people
12. 12.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on one group only (d) ask different people
13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
14. 14.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
15. 15.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
16. 16.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) copy old unfair choices (d) balance the data
17. 17.Which of these adds to bias? (a) ask different people (b) add varied examples (c) skip testing (d) check who is missing
18. 18.True or false: “test on many groups” helps reduce bias. (a) True (b) False
19. 19.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
20. 20.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
21. 21.Which of these adds to bias? (a) test on many groups (b) test on one group only (c) balance the data (d) fix wrong labels
22. 22.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) use one group only (d) fix wrong labels
23. 23.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
24. 24.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
25. 25.True or false: “use one group only” adds to bias. (a) True (b) False
26. 26.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
27. 27.True or false: “add more of the same” adds to bias. (a) False (b) True
28. 28.True or false: “add varied examples” adds to bias. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) test on many groups (d) skip testing
30. 30.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) add more of the same (d) fix wrong labels
31. 31.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
32. 32.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
33. 33.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
34. 34.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
35. 35.Which of these helps reduce bias? (a) balance the data (b) skip testing (c) copy old unfair choices (d) ignore complaints
36. 36.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) add varied examples (d) copy old unfair choices
37. 37.True or false: “fix wrong labels” adds to bias. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) copy old unfair choices (d) skip testing
39. 39.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
40. 40.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True

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