AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 833 · 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.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
2. 2.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) check who is missing
3. 3.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
4. 4.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
5. 5.Which of these adds to bias? (a) add varied examples (b) balance the data (c) ask different people (d) copy old unfair choices
6. 6.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) check who is missing (d) add varied examples
8. 8.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
9. 9.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
10. 10.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
11. 11.True or false: “check who is missing” adds to bias. (a) True (b) False
12. 12.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
13. 13.Which of these adds to bias? (a) add varied examples (b) balance the data (c) test on many groups (d) use one group only
14. 14.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) skip testing (d) use one group only
15. 15.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
16. 16.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
17. 17.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
18. 18.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
19. 19.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
20. 20.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) use one group only (d) copy old unfair choices
21. 21.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) add more of the same (d) ask different people
22. 22.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
24. 24.True or false: “balance the data” adds to bias. (a) False (b) True
25. 25.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
26. 26.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
27. 27.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) ignore complaints (d) ask different people
28. 28.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
29. 29.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) check who is missing (d) balance the data
30. 30.True or false: “ignore complaints” adds to bias. (a) False (b) True
31. 31.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) test on one group only (d) test on many groups
32. 32.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
33. 33.True or false: “skip testing” helps reduce bias. (a) False (b) True
34. 34.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
35. 35.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) test on many groups (d) copy old unfair choices
36. 36.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
37. 37.True or false: “use one group only” adds to bias. (a) False (b) True
38. 38.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
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: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True

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