AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 610 · 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.True or false: “skip testing” helps reduce bias. (a) True (b) False
2. 2.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
3. 3.True or false: “check who is missing” adds to bias. (a) False (b) True
4. 4.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) add varied examples (d) check who is missing
5. 5.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) add more of the same (d) copy old unfair choices
6. 6.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) use one group only (d) check who is missing
7. 7.True or false: “test on one group only” helps reduce bias. (a) True (b) False
8. 8.True or false: “add more of the same” adds to bias. (a) False (b) True
9. 9.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) copy old unfair choices (d) ask different people
10. 10.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
11. 11.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on many groups (d) add more of the same
12. 12.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) fix wrong labels (d) copy old unfair choices
14. 14.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
15. 15.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) copy old unfair choices (d) add more of the same
16. 16.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) copy old unfair choices (d) use one group only
18. 18.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
19. 19.True or false: “test on one group only” adds to bias. (a) False (b) True
20. 20.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
21. 21.Which of these adds to bias? (a) test on many groups (b) skip testing (c) check who is missing (d) add varied examples
22. 22.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
23. 23.True or false: “fix wrong labels” adds to bias. (a) True (b) False
24. 24.Which of these adds to bias? (a) test on one group only (b) test on many groups (c) balance the data (d) ask different people
25. 25.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
26. 26.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
27. 27.🗣️ 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
28. 28.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
29. 29.Which of these adds to bias? (a) add varied examples (b) ignore complaints (c) balance the data (d) check who is missing
30. 30.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
32. 32.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) ignore complaints (d) skip testing
33. 33.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
34. 34.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
35. 35.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) add varied examples (d) ignore complaints
36. 36.True or false: “add varied examples” helps reduce bias. (a) True (b) False
37. 37.True or false: “add varied examples” adds to 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.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
40. 40.🖼️ 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

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