AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 218 · 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: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
2. 2.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
3. 3.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
4. 4.Which of these adds to bias? (a) add varied examples (b) skip testing (c) test on many groups (d) fix wrong labels
5. 5.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) balance the data (d) copy old unfair choices
6. 6.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) use one group only (d) test on many groups
7. 7.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
8. 8.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) ask different people (d) ignore complaints
9. 9.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
10. 10.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) skip testing (d) add varied examples
11. 11.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) ask different people (d) add varied examples
12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
13. 13.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
14. 14.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
15. 15.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
16. 16.Which of these adds to bias? (a) balance the data (b) check who is missing (c) test on one group only (d) ask different people
17. 17.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) copy old unfair choices (d) fix wrong labels
18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
20. 20.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
21. 21.True or false: “balance the data” adds to bias. (a) False (b) True
22. 22.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
23. 23.Which of these helps reduce bias? (a) fix wrong labels (b) add more of the same (c) use one group only (d) ignore complaints
24. 24.True or false: “check who is missing” adds to bias. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) ask different people (d) add more of the same
26. 26.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
27. 27.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
28. 28.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
29. 29.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) check who is missing (d) ignore complaints
31. 31.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
32. 32.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
33. 33.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) test on one group only
35. 35.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) ask different people
36. 36.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
37. 37.True or false: “check who is missing” helps reduce bias. (a) True (b) False
38. 38.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
39. 39.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) ignore complaints (d) balance the data
40. 40.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias

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