AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 975 · 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: fix wrong labels? (a) adds to bias (b) reduces bias
2. 2.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
4. 4.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) copy old unfair choices (d) use one group only
5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
6. 6.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) add more of the same (d) use one group only
7. 7.True or false: “ask different people” adds to bias. (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) use one group only (d) check who is missing
9. 9.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.True or false: “check who is missing” adds to bias. (a) False (b) True
11. 11.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
12. 12.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
13. 13.Which of these adds to bias? (a) balance the data (b) test on many groups (c) ignore complaints (d) ask different people
14. 14.True or false: “use one group only” adds to bias. (a) False (b) True
15. 15.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) add more of the same (d) balance the data
16. 16.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
18. 18.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
19. 19.Which of these helps reduce bias? (a) copy old unfair choices (b) add varied examples (c) add more of the same (d) ignore complaints
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
21. 21.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.Which of these adds to bias? (a) fix wrong labels (b) add more of the same (c) ask different people (d) add varied examples
23. 23.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
24. 24.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
25. 25.True or false: “test on many groups” helps reduce bias. (a) True (b) False
26. 26.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
27. 27.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
28. 28.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) add varied examples (d) ignore complaints
30. 30.True or false: “fix wrong labels” adds to bias. (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) copy old unfair choices (d) test on one group only
32. 32.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
33. 33.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) ask different people (d) test on many groups
34. 34.Which of these helps reduce bias? (a) fix wrong labels (b) copy old unfair choices (c) use one group only (d) test on one group only
35. 35.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
36. 36.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
37. 37.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
38. 38.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
40. 40.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data

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