AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 343 · 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) children speak too fast (d) it was a rainy day
2. 2.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
3. 3.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
4. 4.🖼️ 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
5. 5.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) ask different people (d) add more of the same
6. 6.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) balance the data
7. 7.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
8. 8.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) test on many groups (d) skip testing
9. 9.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) add varied examples (d) copy old unfair choices
10. 10.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
11. 11.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
12. 12.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
13. 13.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
15. 15.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
16. 16.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) ask different people (d) copy old unfair choices
17. 17.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
19. 19.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
21. 21.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
22. 22.True or false: “test on one group only” adds to bias. (a) False (b) True
23. 23.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
24. 24.True or false: “use one group only” adds to bias. (a) True (b) False
25. 25.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
26. 26.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) ignore complaints (d) balance the data
27. 27.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) check who is missing (d) skip testing
28. 28.Which of these adds to bias? (a) use one group only (b) check who is missing (c) add varied examples (d) ask different people
29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
30. 30.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) use one group only (d) add more of the same
31. 31.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) use one group only (d) check who is missing
32. 32.True or false: “balance the data” adds to bias. (a) False (b) True
33. 33.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
34. 34.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
35. 35.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) test on one group only (d) add varied examples
36. 36.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) copy old unfair choices (d) test on many groups
38. 38.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) check who is missing (d) add varied examples
39. 39.True or false: “fix wrong labels” adds to bias. (a) True (b) False
40. 40.True or false: “add more of the same” adds to bias. (a) False (b) True

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