AI Bias Worksheet for Kids

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

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