AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 282 · 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 adds to bias? (a) check who is missing (b) copy old unfair choices (c) ask different people (d) test on many groups
2. 2.True or false: “test on many groups” helps reduce bias. (a) True (b) False
3. 3.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
4. 4.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
5. 5.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) add more of the same (d) ask different people
6. 6.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
7. 7.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
8. 8.True or false: “balance the data” helps reduce bias. (a) False (b) True
9. 9.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
10. 10.True or false: “check who is missing” adds to bias. (a) True (b) False
11. 11.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) balance the data (d) skip testing
12. 12.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
13. 13.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) copy old unfair choices (d) add more of the same
14. 14.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) test on many groups (d) skip testing
15. 15.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) test on many groups (d) ask different people
16. 16.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
17. 17.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) balance the data (d) test on many groups
18. 18.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) check who is missing (d) ignore complaints
19. 19.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) balance the data (d) test on one group only
20. 20.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
21. 21.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) test on many groups (d) check who is missing
22. 22.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
23. 23.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) ignore complaints (d) add varied examples
24. 24.True or false: “add varied examples” helps reduce bias. (a) True (b) False
25. 25.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
26. 26.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
27. 27.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
28. 28.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) ignore complaints (d) skip testing
29. 29.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
30. 30.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
31. 31.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
32. 32.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) skip testing (d) use one group only
33. 33.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
34. 34.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
35. 35.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
36. 36.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
38. 38.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
40. 40.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes

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