AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 172 · 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: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
2. 2.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) check who is missing (d) skip testing
3. 3.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
4. 4.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
5. 5.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.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
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
8. 8.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
9. 9.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) add varied examples (d) ignore complaints
10. 10.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
11. 11.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
12. 12.True or false: “test on many groups” helps reduce bias. (a) False (b) True
13. 13.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) balance the data (d) copy old unfair choices
14. 14.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) use one group only (d) add more of the same
15. 15.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
16. 16.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
17. 17.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) use one group only (d) ask different people
18. 18.True or false: “add varied examples” adds to bias. (a) False (b) True
19. 19.Which of these helps reduce bias? (a) copy old unfair choices (b) fix wrong labels (c) use one group only (d) add more of the same
20. 20.True or false: “test on one group only” helps reduce bias. (a) False (b) True
21. 21.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
22. 22.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) ask different people (d) fix wrong labels
24. 24.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
26. 26.True or false: “balance the data” helps reduce bias. (a) True (b) False
27. 27.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
28. 28.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
29. 29.🗣️ 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) few child voices in data (d) children speak too fast
30. 30.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
31. 31.True or false: “use one group only” helps reduce bias. (a) False (b) True
32. 32.Which of these adds to bias? (a) balance the data (b) test on many groups (c) test on one group only (d) check who is missing
33. 33.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) add varied examples (d) balance the data
34. 34.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
35. 35.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
36. 36.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
37. 37.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) test on many groups (d) add varied examples
38. 38.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) use one group only (d) skip testing
39. 39.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) use one group only (d) skip testing
40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True

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