AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 573 · 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 fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
2. 2.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
5. 5.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
6. 6.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
7. 7.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
8. 8.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
9. 9.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) skip testing (d) fix wrong labels
10. 10.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
11. 11.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
12. 12.🗣️ 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
13. 13.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) check who is missing (d) skip testing
14. 14.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
15. 15.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
16. 16.True or false: “use one group only” helps reduce bias. (a) False (b) True
17. 17.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
18. 18.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) add more of the same (d) fix wrong labels
20. 20.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
21. 21.True or false: “test on many groups” helps reduce bias. (a) False (b) True
22. 22.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
23. 23.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
25. 25.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) test on one group only (d) check who is missing
26. 26.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
27. 27.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) copy old unfair choices (d) ask different people
29. 29.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
30. 30.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
31. 31.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
32. 32.True or false: “test on one group only” helps reduce bias. (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) balance the data (d) use one group only
34. 34.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) fix wrong labels (d) ask different people
35. 35.Which of these adds to bias? (a) balance the data (b) add varied examples (c) check who is missing (d) copy old unfair choices
36. 36.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
37. 37.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
38. 38.Which of these helps reduce bias? (a) balance the data (b) ignore complaints (c) use one group only (d) test on one group only
39. 39.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
40. 40.True or false: “skip testing” adds to bias. (a) False (b) True

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