AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 942 · 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: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
2. 2.Which of these adds to bias? (a) copy old unfair choices (b) fix wrong labels (c) ask different people (d) balance the data
3. 3.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
4. 4.True or false: “add varied examples” adds to bias. (a) True (b) False
5. 5.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) ignore complaints (d) test on one group only
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
7. 7.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
8. 8.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
9. 9.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
12. 12.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
13. 13.True or false: “test on many groups” helps reduce bias. (a) False (b) True
14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
15. 15.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) ask different people (d) fix wrong labels
17. 17.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) add varied examples (d) check who is missing
18. 18.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.Which of these adds to bias? (a) test on one group only (b) ask different people (c) check who is missing (d) add varied examples
20. 20.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
22. 22.True or false: “ask different people” adds to bias. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) add more of the same (d) copy old unfair choices
24. 24.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
25. 25.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) test on many groups (d) fix wrong labels
27. 27.True or false: “check who is missing” helps reduce bias. (a) False (b) True
28. 28.True or false: “test on one group only” adds to bias. (a) True (b) False
29. 29.True or false: “add more of the same” adds to bias. (a) True (b) False
30. 30.True or false: “ask different people” helps reduce bias. (a) True (b) False
31. 31.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
32. 32.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
33. 33.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
34. 34.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) use one group only (d) add varied examples
35. 35.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
36. 36.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
37. 37.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) test on one group only (d) skip testing
38. 38.Which of these helps reduce bias? (a) add varied examples (b) add more of the same (c) use one group only (d) test on one group only
39. 39.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) copy old unfair choices (d) use one group only
40. 40.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) fix wrong labels (d) test on one group only

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