AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 927 · 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 of these helps reduce bias? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) fix wrong labels
2. 2.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
3. 3.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) copy old unfair choices (d) check who is missing
4. 4.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
5. 5.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
6. 6.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) skip testing (d) test on many groups
7. 7.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
9. 9.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) add more of the same (d) add varied examples
11. 11.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
12. 12.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) ignore complaints (d) ask different people
13. 13.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
14. 14.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
15. 15.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
16. 16.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
17. 17.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
18. 18.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) balance the data (d) test on one group only
19. 19.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) add varied examples (d) test on many groups
20. 20.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
21. 21.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) skip testing (d) copy old unfair choices
23. 23.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
24. 24.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) add varied examples (d) ask different people
25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
26. 26.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
27. 27.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
28. 28.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
29. 29.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
30. 30.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
31. 31.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
32. 32.True or false: “ignore complaints” adds to bias. (a) False (b) True
33. 33.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
34. 34.Which of these adds to bias? (a) check who is missing (b) balance the data (c) use one group only (d) ask different people
35. 35.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) test on many groups (d) ignore complaints
36. 36.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
37. 37.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
38. 38.True or false: “balance the data” helps reduce bias. (a) False (b) True
39. 39.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) use one group only (d) add more of the same
40. 40.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True

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