AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 417 · 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.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
2. 2.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
3. 3.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
4. 4.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
6. 6.Which of these adds to bias? (a) add more of the same (b) balance the data (c) check who is missing (d) fix wrong labels
7. 7.True or false: “ask different people” adds to bias. (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
9. 9.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) balance the data (d) test on many groups
10. 10.True or false: “skip testing” helps reduce bias. (a) True (b) False
11. 11.True or false: “test on one group only” helps reduce bias. (a) True (b) False
12. 12.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
13. 13.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) skip testing (d) add varied examples
15. 15.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
16. 16.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
17. 17.🗣️ 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) the phone was new (d) few child voices in data
18. 18.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) ask different people (d) skip testing
19. 19.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) balance the data (d) check who is missing
20. 20.Which of these helps reduce bias? (a) copy old unfair choices (b) add varied examples (c) skip testing (d) add more of the same
21. 21.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
22. 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
23. 23.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
24. 24.True or false: “add varied examples” adds to bias. (a) True (b) False
25. 25.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) check who is missing (d) test on one group only
26. 26.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) add varied examples (d) ignore complaints
27. 27.Which of these adds to bias? (a) use one group only (b) fix wrong labels (c) test on many groups (d) ask different people
28. 28.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
29. 29.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
30. 30.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
31. 31.Which of these adds to bias? (a) test on one group only (b) ask different people (c) add varied examples (d) fix wrong labels
32. 32.True or false: “use one group only” helps reduce bias. (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) ask different people (d) ignore complaints
34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
35. 35.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
36. 36.Which of these adds to bias? (a) add varied examples (b) ask different people (c) balance the data (d) ignore complaints
37. 37.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
38. 38.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
39. 39.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on many groups (d) copy old unfair choices
40. 40.True or false: “test on many groups” adds to bias. (a) True (b) False

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