AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 821 · 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.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
3. 3.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) use one group only (d) add more of the same
4. 4.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
6. 6.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
7. 7.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
8. 8.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) add more of the same (d) use one group only
9. 9.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
10. 10.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
11. 11.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) ask different people (d) use one group only
12. 12.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) skip testing (d) ask different people
14. 14.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) balance the data (d) use one group only
15. 15.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) copy old unfair choices (d) skip testing
16. 16.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) check who is missing (d) ask different people
17. 17.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
18. 18.Which of these adds to bias? (a) ask different people (b) check who is missing (c) test on many groups (d) add more of the same
19. 19.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
20. 20.True or false: “skip testing” helps reduce bias. (a) True (b) False
21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
22. 22.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
23. 23.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) check who is missing (d) use one group only
25. 25.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
26. 26.True or false: “add more of the same” adds to bias. (a) True (b) False
27. 27.Which of these adds to bias? (a) test on many groups (b) ask different people (c) use one group only (d) balance the data
28. 28.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
29. 29.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
30. 30.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
31. 31.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
32. 32.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
33. 33.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
34. 34.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) ignore complaints (d) ask different people
35. 35.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
36. 36.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
37. 37.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
38. 38.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
39. 39.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
40. 40.True or false: “ask different people” adds to bias. (a) False (b) True

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