AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 720 · 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: “balance the data” helps reduce bias. (a) True (b) False
2. 2.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
3. 3.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) copy old unfair choices (d) check who is missing
4. 4.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
5. 5.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
6. 6.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
7. 7.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
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.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) balance the data (d) ignore complaints
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
11. 11.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) ask different people (d) test on many groups
12. 12.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
13. 13.Which of these adds to bias? (a) balance the data (b) test on many groups (c) ask different people (d) test on one group only
14. 14.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
15. 15.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.True or false: “fix wrong labels” adds to bias. (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) copy old unfair choices (d) test on many groups
18. 18.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
19. 19.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) skip testing (d) test on many groups
20. 20.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
21. 21.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) check who is missing (d) skip testing
22. 22.True or false: “add varied examples” adds to bias. (a) True (b) False
23. 23.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) use one group only (d) copy old unfair choices
25. 25.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
26. 26.Which of these adds to bias? (a) test on many groups (b) balance the data (c) add more of the same (d) fix wrong labels
27. 27.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
28. 28.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
30. 30.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) balance the data (d) ignore complaints
31. 31.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
32. 32.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
33. 33.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) add varied examples
34. 34.Which of these helps reduce bias? (a) copy old unfair choices (b) fix wrong labels (c) add more of the same (d) test on one group only
35. 35.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
36. 36.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) test on one group only (d) skip testing
37. 37.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
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.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
40. 40.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data

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