AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 542 · 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.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
2. 2.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) test on one group only (d) add more of the same
3. 3.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
4. 4.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
5. 5.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
7. 7.True or false: “test on many groups” helps reduce bias. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) add varied examples
9. 9.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) ask different people (d) use one group only
10. 10.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
11. 11.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
12. 12.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) test on many groups (d) copy old unfair choices
13. 13.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) ignore complaints (d) test on one group only
14. 14.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
15. 15.True or false: “check who is missing” helps reduce bias. (a) True (b) False
16. 16.True or false: “balance the data” adds to bias. (a) True (b) False
17. 17.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
18. 18.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
19. 19.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
20. 20.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
21. 21.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
22. 22.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
23. 23.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
24. 24.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
26. 26.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
27. 27.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
28. 28.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) test on one group only (d) add varied examples
29. 29.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.Which of these adds to bias? (a) balance the data (b) ask different people (c) skip testing (d) add varied examples
31. 31.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
32. 32.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
34. 34.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
35. 35.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) test on one group only (d) ask different people
36. 36.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
37. 37.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
38. 38.🗣️ 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
39. 39.Which of these adds to bias? (a) check who is missing (b) ask different people (c) fix wrong labels (d) test on one group only
40. 40.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias

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