AI Bias Worksheet for Kids

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

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