AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 521 · 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: leaves from every season of the year? (a) one-sided data (b) balanced data
2. 2.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
3. 3.True or false: “ask different people” adds to bias. (a) True (b) False
4. 4.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
5. 5.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
7. 7.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
9. 9.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
10. 10.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) fix wrong labels (d) test on many groups
12. 12.True or false: “test on many groups” helps reduce bias. (a) False (b) True
13. 13.True or false: “use one group only” adds to bias. (a) True (b) False
14. 14.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) ask different people
15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
16. 16.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
17. 17.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
18. 18.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
19. 19.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) test on one group only (d) ignore complaints
20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
21. 21.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) balance the data (d) add varied examples
22. 22.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
23. 23.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
24. 24.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
25. 25.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) check who is missing (d) ignore complaints
26. 26.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
27. 27.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
28. 28.True or false: “balance the data” helps reduce bias. (a) True (b) False
29. 29.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ask different people (d) copy old unfair choices
30. 30.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
31. 31.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) balance the data (d) use one group only
32. 32.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
33. 33.True or false: “fix wrong labels” adds to bias. (a) True (b) False
34. 34.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
36. 36.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) add varied examples (d) check who is missing
37. 37.Which of these helps reduce bias? (a) add varied examples (b) skip testing (c) test on one group only (d) add more of the same
38. 38.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
39. 39.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) test on many groups (d) use one group only
40. 40.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False

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