AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 500 · 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 one-sided data (likely to make a biased model). (a) True (b) False
2. 2.🗣️ 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
3. 3.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
4. 4.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
5. 5.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) skip testing (d) use one group only
7. 7.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
9. 9.True or false: “add more of the same” helps reduce bias. (a) True (b) False
10. 10.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
11. 11.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) test on one group only
12. 12.True or false: “fix wrong labels” adds to bias. (a) False (b) True
13. 13.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
14. 14.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
15. 15.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) use one group only (d) balance the data
16. 16.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) test on one group only (d) add more of the same
17. 17.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
18. 18.True or false: “add varied examples” adds to bias. (a) True (b) False
19. 19.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
20. 20.Which of these adds to bias? (a) skip testing (b) add varied examples (c) check who is missing (d) ask different people
21. 21.🖼️ 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
22. 22.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) test on many groups (d) add varied examples
23. 23.True or false: “ignore complaints” adds to bias. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on many groups (d) skip testing
25. 25.True or false: “balance the data” helps reduce bias. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) test on many groups (d) balance the data
27. 27.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) skip testing (d) add more of the same
29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
30. 30.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
31. 31.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
32. 32.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
33. 33.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
34. 34.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) copy old unfair choices (d) ask different people
35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) ignore complaints (d) add more of the same
36. 36.True or false: “balance the data” adds to bias. (a) True (b) False
37. 37.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
38. 38.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
39. 39.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) fix wrong labels (d) test on many groups
40. 40.True or false: “use one group only” helps reduce bias. (a) False (b) True

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