AI Bias Worksheet for Kids

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

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