AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 457 · 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.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
2. 2.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
3. 3.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
4. 4.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) skip testing (d) add more of the same
5. 5.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
6. 6.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) ignore complaints (d) add more of the same
7. 7.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.Which of these adds to bias? (a) add varied examples (b) use one group only (c) ask different people (d) fix wrong labels
9. 9.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
10. 10.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) test on many groups (d) use one group only
11. 11.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.True or false: “use one group only” helps reduce bias. (a) False (b) True
13. 13.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) ignore complaints (d) fix wrong labels
14. 14.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
15. 15.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) ignore complaints (d) copy old unfair choices
16. 16.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
17. 17.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) fix wrong labels (d) skip testing
18. 18.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
19. 19.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
20. 20.True or false: “check who is missing” adds to bias. (a) False (b) True
21. 21.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
22. 22.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) add more of the same (d) test on many groups
23. 23.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
24. 24.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) add more of the same (d) balance the data
25. 25.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
26. 26.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.True or false: “check who is missing” helps reduce bias. (a) True (b) False
28. 28.Which of these adds to bias? (a) ask different people (b) ignore complaints (c) add varied examples (d) fix wrong labels
29. 29.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
30. 30.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
31. 31.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) balance the data (d) add varied examples
32. 32.🗣️ 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
33. 33.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
34. 34.True or false: “test on one group only” adds to bias. (a) True (b) False
35. 35.True or false: “test on one group only” helps reduce bias. (a) False (b) True
36. 36.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) ignore complaints (d) copy old unfair choices
38. 38.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
39. 39.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
40. 40.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) add varied examples (d) copy old unfair choices

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