AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 554 · 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) add varied examples (b) test on many groups (c) ask different people (d) skip testing
2. 2.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
4. 4.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
5. 5.True or false: “test on many groups” adds to bias. (a) False (b) True
6. 6.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
7. 7.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
8. 8.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
9. 9.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) use one group only (d) ask different people
10. 10.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
11. 11.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) test on one group only (d) add varied examples
12. 12.True or false: “check who is missing” helps reduce bias. (a) False (b) True
13. 13.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.Which of these adds to bias? (a) check who is missing (b) balance the data (c) add varied examples (d) copy old unfair choices
15. 15.True or false: “add varied examples” adds to bias. (a) True (b) False
16. 16.True or false: “test on one group only” adds to bias. (a) True (b) False
17. 17.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
18. 18.True or false: “fix wrong labels” adds to bias. (a) False (b) True
19. 19.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) balance the data
20. 20.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) use one group only (d) ask different people
21. 21.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) fix wrong labels (d) skip testing
22. 22.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
23. 23.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
25. 25.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
26. 26.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
27. 27.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
28. 28.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
29. 29.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
30. 30.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
31. 31.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) use one group only (d) copy old unfair choices
32. 32.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) check who is missing (d) balance the data
33. 33.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) copy old unfair choices (d) ask different people
34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
35. 35.True or false: “use one group only” helps reduce bias. (a) False (b) True
36. 36.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
37. 37.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) ask different people (d) use one group only
38. 38.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
39. 39.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
40. 40.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) ignore complaints (d) test on one group only

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