AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 702 · 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.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
3. 3.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) copy old unfair choices (d) balance the data
4. 4.True or false: “test on many groups” adds to bias. (a) False (b) True
5. 5.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) test on one group only (d) check who is missing
6. 6.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
7. 7.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ignore complaints (d) ask different people
8. 8.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) copy old unfair choices (d) balance the data
9. 9.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
10. 10.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) check who is missing
11. 11.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) add varied examples (d) skip testing
12. 12.Which of these adds to bias? (a) check who is missing (b) test on one group only (c) fix wrong labels (d) add varied examples
13. 13.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) fix wrong labels (d) skip testing
14. 14.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
15. 15.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
16. 16.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
17. 17.True or false: “check who is missing” adds to bias. (a) True (b) False
18. 18.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
19. 19.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
20. 20.🖼️ 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
21. 21.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) test on many groups (d) test on one group only
22. 22.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
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 fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) copy old unfair choices (d) test on many groups
27. 27.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
28. 28.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
29. 29.True or false: “ask different people” adds to bias. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) skip testing (d) use one group only
31. 31.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) add more of the same (d) copy old unfair choices
33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
34. 34.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) copy old unfair choices (d) balance the data
35. 35.True or false: “add more of the same” adds to bias. (a) True (b) False
36. 36.True or false: “ask different people” helps reduce bias. (a) False (b) True
37. 37.True or false: “balance the data” helps reduce bias. (a) False (b) True
38. 38.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
39. 39.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) copy old unfair choices (d) test on one group only
40. 40.True or false: “use one group only” helps reduce bias. (a) True (b) False

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