AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 883 · 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 is the odd one out? (a) use one group only (b) ignore complaints (c) ask different people (d) copy old unfair choices
2. 2.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) test on one group only (d) check who is missing
3. 3.True or false: “test on many groups” helps reduce bias. (a) False (b) True
4. 4.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
5. 5.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) add varied examples (d) add more of the same
6. 6.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
7. 7.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
8. 8.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
9. 9.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
10. 10.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
11. 11.True or false: “use one group only” adds to bias. (a) True (b) False
12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
13. 13.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) test on one group only (d) ask different people
14. 14.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
15. 15.True or false: “test on one group only” adds to bias. (a) True (b) False
16. 16.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
17. 17.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
18. 18.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
19. 19.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
20. 20.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
21. 21.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) add more of the same (d) add varied examples
22. 22.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) check who is missing (d) use one group only
23. 23.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) fix wrong labels (d) ask different people
24. 24.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
26. 26.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
27. 27.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
28. 28.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
29. 29.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
30. 30.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
32. 32.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
33. 33.Which of these adds to bias? (a) test on one group only (b) ask different people (c) check who is missing (d) add varied examples
34. 34.True or false: “check who is missing” helps reduce bias. (a) True (b) False
35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
37. 37.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) use one group only (d) check who is missing
38. 38.Which of these adds to bias? (a) use one group only (b) check who is missing (c) test on many groups (d) balance the data
39. 39.Which of these adds to bias? (a) check who is missing (b) ask different people (c) copy old unfair choices (d) fix wrong labels
40. 40.Which of these helps reduce bias? (a) balance the data (b) use one group only (c) skip testing (d) copy old unfair choices

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