AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 908 · 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) test on many groups (c) copy old unfair choices (d) ignore complaints
2. 2.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
3. 3.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) ignore complaints (d) balance the data
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
5. 5.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
6. 6.True or false: “ask different people” helps reduce bias. (a) True (b) False
7. 7.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
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) skip testing (c) copy old unfair choices (d) test on one group only
10. 10.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) ignore complaints (d) add varied examples
11. 11.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
12. 12.True or false: “add more of the same” helps reduce bias. (a) False (b) True
13. 13.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
14. 14.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) skip testing (d) add more of the same
15. 15.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) balance the data (d) ignore complaints
16. 16.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
17. 17.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
18. 18.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
20. 20.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) add varied examples (d) fix wrong labels
21. 21.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
22. 22.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
23. 23.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
24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
25. 25.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
26. 26.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
27. 27.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
28. 28.Which of these adds to bias? (a) add varied examples (b) ask different people (c) add more of the same (d) test on many groups
29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
30. 30.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
31. 31.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) add varied examples (d) test on one group only
32. 32.True or false: “use one group only” helps reduce bias. (a) False (b) True
33. 33.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
34. 34.True or false: “test on many groups” helps reduce bias. (a) True (b) False
35. 35.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
36. 36.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) ignore complaints (d) check who is missing
38. 38.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
39. 39.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
40. 40.True or false: “balance the data” adds to bias. (a) True (b) False

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