AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 910 · 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 of these adds to bias? (a) test on many groups (b) add varied examples (c) check who is missing (d) skip testing
2. 2.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) use one group only (d) check who is missing
3. 3.Which of these adds to bias? (a) add varied examples (b) use one group only (c) fix wrong labels (d) test on many groups
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
5. 5.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
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
7. 7.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) balance the data (d) check who is missing
8. 8.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
9. 9.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
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.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
13. 13.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) copy old unfair choices (d) add more of the same
14. 14.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) add more of the same (d) fix wrong labels
15. 15.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) test on many groups (d) balance the data
17. 17.True or false: “add more of the same” helps reduce bias. (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
19. 19.True or false: “check who is missing” adds to bias. (a) True (b) False
20. 20.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) use one group only (d) add more of the same
21. 21.True or false: “balance the data” helps reduce bias. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) copy old unfair choices (d) add more of the same
23. 23.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) copy old unfair choices (d) test on one group only
24. 24.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) add more of the same (d) ignore complaints
25. 25.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
26. 26.🗣️ 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
27. 27.True or false: “ask different people” helps reduce bias. (a) False (b) True
28. 28.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
29. 29.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
30. 30.True or false: “test on many groups” adds to bias. (a) True (b) False
31. 31.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
32. 32.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
34. 34.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
35. 35.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
36. 36.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
37. 37.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
38. 38.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
39. 39.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
40. 40.True or false: “ignore complaints” helps reduce bias. (a) False (b) True

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