AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 321 · 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.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
2. 2.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
4. 4.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
5. 5.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) ignore complaints (d) test on one group only
6. 6.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) test on one group only (d) ask different people
7. 7.True or false: “add varied examples” adds to bias. (a) True (b) False
8. 8.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) ask different people (d) skip testing
9. 9.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
12. 12.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
13. 13.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
14. 14.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
15. 15.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) test on one group only (d) add more of the same
16. 16.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) check who is missing (d) use one group only
17. 17.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
18. 18.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
19. 19.True or false: “test on one group only” adds to bias. (a) False (b) True
20. 20.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) add more of the same (d) ignore complaints
21. 21.True or false: “ask different people” adds to bias. (a) False (b) True
22. 22.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) copy old unfair choices (d) check who is missing
23. 23.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
24. 24.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) use one group only (d) ask different people
25. 25.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) skip testing (d) add varied examples
26. 26.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
27. 27.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
28. 28.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
29. 29.True or false: “balance the data” helps reduce bias. (a) True (b) False
30. 30.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
31. 31.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
32. 32.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
33. 33.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
34. 34.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) ask different people (d) ignore complaints
35. 35.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
36. 36.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) fix wrong labels (d) add varied examples
37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
38. 38.True or false: “ask different people” helps reduce bias. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) ignore complaints (d) test on many groups
40. 40.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True

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