AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 724 · 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: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) use one group only (d) check who is missing
3. 3.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
4. 4.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) use one group only
5. 5.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
6. 6.🔍 Which is the odd one out? (a) add more of the same (b) balance the data (c) test on one group only (d) copy old unfair choices
7. 7.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) add more of the same (d) copy old unfair choices
8. 8.True or false: “balance the data” adds to bias. (a) True (b) False
9. 9.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) use one group only (d) add varied examples
10. 10.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) ask different people (d) add more of the same
11. 11.True or false: “fix wrong labels” adds to bias. (a) False (b) True
12. 12.True or false: “ask different people” adds to bias. (a) True (b) False
13. 13.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
14. 14.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.True or false: “test on one group only” adds to bias. (a) True (b) False
16. 16.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
17. 17.Which of these helps reduce bias? (a) ignore complaints (b) fix wrong labels (c) skip testing (d) use one group only
18. 18.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
19. 19.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
20. 20.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.True or false: “add varied examples” helps reduce bias. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) use one group only (d) ignore complaints
23. 23.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
25. 25.True or false: “test on many groups” adds to bias. (a) False (b) True
26. 26.True or false: “add varied examples” adds to bias. (a) True (b) False
27. 27.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
28. 28.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) skip testing (d) add more of the same
29. 29.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
30. 30.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) test on many groups (d) use one group only
31. 31.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
32. 32.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) fix wrong labels (d) ignore complaints
33. 33.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
34. 34.True or false: “check who is missing” helps reduce bias. (a) False (b) True
35. 35.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
36. 36.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) test on one group only (d) check who is missing
37. 37.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
38. 38.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
40. 40.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) add varied examples (d) check who is missing

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