AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 700 · 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: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
2. 2.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
3. 3.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
4. 4.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
5. 5.True or false: “ignore complaints” adds to bias. (a) False (b) True
6. 6.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
7. 7.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) use one group only (d) balance the data
8. 8.🗣️ 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) few child voices in data (d) the phone was new
9. 9.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
10. 10.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) ask different people (d) skip testing
11. 11.Which of these adds to bias? (a) ask different people (b) add varied examples (c) check who is missing (d) test on one group only
12. 12.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
13. 13.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
14. 14.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.True or false: “use one group only” helps reduce bias. (a) False (b) True
16. 16.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
17. 17.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) ignore complaints (d) test on many groups
18. 18.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
19. 19.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) skip testing (d) test on many groups
20. 20.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
21. 21.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) copy old unfair choices (d) add varied examples
22. 22.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
23. 23.🖼️ 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
24. 24.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
25. 25.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) ignore complaints (d) test on one group only
26. 26.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
27. 27.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
28. 28.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) balance the data (d) test on one group only
29. 29.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
30. 30.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
31. 31.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) add varied examples (d) check who is missing
33. 33.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) copy old unfair choices (d) test on many groups
34. 34.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
35. 35.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
36. 36.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
37. 37.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) skip testing (d) add varied examples
38. 38.True or false: “test on many groups” helps reduce bias. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) ignore complaints (d) add varied examples
40. 40.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data

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