AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 998 · 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.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) skip testing (d) test on many groups
2. 2.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
3. 3.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
4. 4.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) ignore complaints (d) test on one group only
6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
7. 7.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.Which of these adds to bias? (a) add varied examples (b) ask different people (c) ignore complaints (d) check who is missing
9. 9.True or false: “test on one group only” helps reduce bias. (a) True (b) False
10. 10.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
12. 12.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) test on one group only (d) balance the data
14. 14.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) fix wrong labels (d) ignore complaints
15. 15.🗣️ 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
16. 16.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
17. 17.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
18. 18.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
19. 19.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
22. 22.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) ask different people (d) test on many groups
24. 24.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
25. 25.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) ask different people (d) check who is missing
26. 26.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
27. 27.Which of these helps reduce bias? (a) test on many groups (b) test on one group only (c) skip testing (d) use one group only
28. 28.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
29. 29.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
30. 30.Which of these adds to bias? (a) test on one group only (b) balance the data (c) ask different people (d) add varied examples
31. 31.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
32. 32.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
33. 33.True or false: “add varied examples” helps reduce bias. (a) True (b) False
34. 34.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
35. 35.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
36. 36.True or false: “check who is missing” adds to bias. (a) True (b) False
37. 37.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
38. 38.True or false: “ask different people” adds to bias. (a) True (b) False
39. 39.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) skip testing (d) balance the data
40. 40.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias

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