AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 528 · 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.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
2. 2.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
3. 3.True or false: “check who is missing” adds to bias. (a) False (b) True
4. 4.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
5. 5.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) test on many groups (d) check who is missing
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
7. 7.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
8. 8.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) add more of the same (d) ignore complaints
9. 9.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) copy old unfair choices (d) ask different people
11. 11.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
12. 12.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
14. 14.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) add more of the same (d) copy old unfair choices
15. 15.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
16. 16.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
17. 17.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
18. 18.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
19. 19.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.True or false: “ask different people” helps reduce bias. (a) False (b) True
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: “test on one group only” adds to bias. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) test on one group only (d) ask different people
24. 24.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
25. 25.True or false: “balance the data” adds to bias. (a) True (b) False
26. 26.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
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.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
29. 29.True or false: “fix wrong labels” adds to bias. (a) False (b) True
30. 30.Which of these helps reduce bias? (a) ignore complaints (b) test on many groups (c) use one group only (d) test on one group only
31. 31.Which of these helps reduce bias? (a) fix wrong labels (b) use one group only (c) copy old unfair choices (d) add more of the same
32. 32.True or false: “ask different people” adds to bias. (a) True (b) False
33. 33.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) balance the data (d) ignore complaints
34. 34.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
35. 35.Which of these adds to bias? (a) skip testing (b) ask different people (c) test on many groups (d) add varied examples
36. 36.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
37. 37.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) add more of the same (d) test on many groups
38. 38.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) check who is missing (d) copy old unfair choices
39. 39.True or false: “add varied examples” adds to bias. (a) False (b) True
40. 40.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias

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