AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 782 · 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 is the odd one out? (a) add varied examples (b) check who is missing (c) use one group only (d) fix wrong labels
2. 2.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
3. 3.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
4. 4.True or false: “balance the data” helps reduce bias. (a) False (b) True
5. 5.Which of these helps reduce bias? (a) test on many groups (b) test on one group only (c) skip testing (d) ignore complaints
6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
7. 7.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) add varied examples (d) test on one group only
8. 8.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
9. 9.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
10. 10.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) balance the data (d) skip testing
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
12. 12.True or false: “fix wrong labels” adds to bias. (a) True (b) False
13. 13.True or false: “ask different people” helps reduce bias. (a) True (b) False
14. 14.True or false: “ask different people” adds to bias. (a) False (b) True
15. 15.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
16. 16.True or false: “test on many groups” adds to bias. (a) False (b) True
17. 17.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
18. 18.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) add more of the same (d) ask different people
19. 19.Which of these adds to bias? (a) use one group only (b) check who is missing (c) ask different people (d) fix wrong labels
20. 20.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) fix wrong labels (d) copy old unfair choices
21. 21.Which of these adds to bias? (a) skip testing (b) fix wrong labels (c) add varied examples (d) check who is missing
22. 22.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
23. 23.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) copy old unfair choices (d) fix wrong labels
24. 24.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
25. 25.True or false: “add more of the same” helps reduce bias. (a) True (b) False
26. 26.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
27. 27.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
28. 28.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
29. 29.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
31. 31.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
32. 32.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) ask different people
33. 33.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) add varied examples (d) add more of the same
34. 34.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.Which of these adds to bias? (a) check who is missing (b) copy old unfair choices (c) balance the data (d) test on many groups
36. 36.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) test on one group only (d) ask different people
37. 37.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
38. 38.True or false: “test on many groups” helps reduce bias. (a) False (b) True
39. 39.Which of these adds to bias? (a) balance the data (b) ask different people (c) check who is missing (d) add more of the same
40. 40.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) skip testing (d) copy old unfair choices

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