AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 499 · 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: “balance the data” helps reduce bias. (a) True (b) False
2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
3. 3.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) use one group only (d) copy old unfair choices
4. 4.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
6. 6.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
7. 7.True or false: “test on one group only” helps reduce bias. (a) True (b) False
8. 8.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) ask different people (d) test on one group only
9. 9.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) add more of the same (d) balance the data
10. 10.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
11. 11.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
12. 12.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
13. 13.True or false: “add varied examples” adds to bias. (a) True (b) False
14. 14.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
15. 15.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
17. 17.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
18. 18.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
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.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
22. 22.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
23. 23.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
24. 24.True or false: “skip testing” helps reduce bias. (a) False (b) True
25. 25.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
26. 26.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) ask different people (d) ignore complaints
27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
28. 28.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
29. 29.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) add more of the same (d) check who is missing
30. 30.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) fix wrong labels (d) check who is missing
31. 31.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) add varied examples (d) add more of the same
32. 32.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
33. 33.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
34. 34.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) ask different people (d) add more of the same
35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
36. 36.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on one group only (d) fix wrong labels
37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
38. 38.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.True or false: “ask different people” adds to bias. (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) balance the data (d) ignore complaints

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