AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 598 · 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: “use one group only” helps reduce bias. (a) True (b) False
2. 2.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
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
4. 4.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
6. 6.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) balance the data (d) use one group only
7. 7.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
9. 9.Which of these adds to bias? (a) skip testing (b) ask different people (c) balance the data (d) check who is missing
10. 10.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
11. 11.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) balance the data (d) test on one group only
12. 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
13. 13.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
14. 14.True or false: “ask different people” adds to bias. (a) False (b) True
15. 15.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
16. 16.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
17. 17.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) ask different people (d) add more of the same
18. 18.True or false: “add more of the same” adds to bias. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) balance the data (d) ignore complaints
20. 20.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
21. 21.True or false: “add more of the same” helps reduce bias. (a) False (b) True
22. 22.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
23. 23.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
24. 24.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) ignore complaints (d) use one group only
25. 25.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
26. 26.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
27. 27.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) copy old unfair choices (d) test on many groups
28. 28.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
29. 29.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
30. 30.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
31. 31.True or false: “test on one group only” helps reduce bias. (a) False (b) True
32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
33. 33.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
34. 34.True or false: “test on many groups” helps reduce bias. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) add varied examples (d) test on one group only
36. 36.Which of these adds to bias? (a) test on many groups (b) balance the data (c) add varied examples (d) ignore complaints
37. 37.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) add more of the same (d) test on one group only
38. 38.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) check who is missing (d) use one group only
39. 39.Which of these helps reduce bias? (a) use one group only (b) check who is missing (c) test on one group only (d) ignore complaints
40. 40.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False

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