AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 133 · 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 helps reduce bias? (a) ignore complaints (b) add more of the same (c) test on one group only (d) balance the data
2. 2.True or false: “ignore complaints” adds to bias. (a) True (b) False
3. 3.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) add more of the same (d) test on one group only
4. 4.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
5. 5.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) test on many groups (d) ignore complaints
6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
7. 7.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
8. 8.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) add more of the same (d) fix wrong labels
9. 9.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
10. 10.Which of these adds to bias? (a) add varied examples (b) skip testing (c) test on many groups (d) balance the data
11. 11.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
12. 12.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
13. 13.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) copy old unfair choices (d) ignore complaints
14. 14.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
15. 15.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
16. 16.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) fix wrong labels (d) check who is missing
17. 17.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
18. 18.Which of these adds to bias? (a) ask different people (b) test on many groups (c) check who is missing (d) add more of the same
19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
20. 20.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) ask different people (d) test on many groups
21. 21.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
22. 22.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
23. 23.Which of these helps reduce bias? (a) ask different people (b) use one group only (c) ignore complaints (d) add more of the same
24. 24.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) check who is missing (d) add more of the same
25. 25.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
26. 26.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.True or false: “test on many groups” helps reduce bias. (a) False (b) True
28. 28.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
30. 30.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
32. 32.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) use one group only (d) add varied examples
33. 33.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
34. 34.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
35. 35.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
36. 36.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
37. 37.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
38. 38.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
39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
40. 40.True or false: “ignore complaints” helps reduce bias. (a) False (b) True

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