AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 731 · 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: neat and messy writing from many people? (a) balanced data (b) one-sided data
2. 2.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
4. 4.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
5. 5.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
7. 7.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) test on one group only (d) skip testing
10. 10.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
11. 11.True or false: “fix wrong labels” adds to bias. (a) True (b) False
12. 12.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
13. 13.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) skip testing (d) add varied examples
14. 14.Which of these adds to bias? (a) test on one group only (b) check who is missing (c) add varied examples (d) test on many groups
15. 15.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
16. 16.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
17. 17.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) fix wrong labels (d) test on one group only
18. 18.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) copy old unfair choices (d) use one group only
20. 20.True or false: “test on many groups” adds to bias. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) fix wrong labels (d) add more of the same
22. 22.True or false: “check who is missing” adds to bias. (a) False (b) True
23. 23.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.🗣️ 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
25. 25.True or false: “use one group only” adds to bias. (a) False (b) True
26. 26.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) balance the data (d) fix wrong labels
27. 27.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
28. 28.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) check who is missing (d) ask different people
29. 29.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
30. 30.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
31. 31.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
32. 32.Which of these helps reduce bias? (a) add varied examples (b) copy old unfair choices (c) ignore complaints (d) test on one group only
33. 33.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
34. 34.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
35. 35.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) use one group only (d) test on many groups
37. 37.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
38. 38.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
39. 39.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
40. 40.True or false: “copy old unfair choices” adds to bias. (a) False (b) True

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