AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 87 · 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) use one group only (b) fix wrong labels (c) ignore complaints (d) add more of the same
2. 2.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
4. 4.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) ask different people (d) use one group only
6. 6.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
7. 7.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) ignore complaints (d) add varied examples
8. 8.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) balance the data (d) copy old unfair choices
10. 10.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
11. 11.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
12. 12.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) check who is missing (d) test on many groups
13. 13.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) add more of the same (d) fix wrong labels
14. 14.True or false: “add varied examples” adds to bias. (a) True (b) False
15. 15.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
16. 16.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
17. 17.True or false: “skip testing” adds to 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.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
21. 21.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
22. 22.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
23. 23.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) ask different people (d) skip testing
24. 24.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) balance the data (d) use one group only
25. 25.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
26. 26.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
27. 27.Which of these adds to bias? (a) add varied examples (b) ask different people (c) fix wrong labels (d) add more of the same
28. 28.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
29. 29.Which of these adds to bias? (a) use one group only (b) balance the data (c) test on many groups (d) check who is missing
30. 30.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
31. 31.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
32. 32.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
33. 33.True or false: “check who is missing” adds to bias. (a) True (b) False
34. 34.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
36. 36.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) ignore complaints (d) copy old unfair choices
37. 37.True or false: “add varied examples” helps reduce bias. (a) False (b) True
38. 38.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
39. 39.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) test on many groups (d) fix wrong labels
40. 40.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True

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