AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 273 · 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: “test on many groups” adds to bias. (a) True (b) False
2. 2.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) add more of the same (d) fix wrong labels
3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
4. 4.True or false: “fix wrong labels” adds to bias. (a) False (b) True
5. 5.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.True or false: “skip testing” helps reduce bias. (a) True (b) False
7. 7.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
8. 8.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) use one group only (d) skip testing
9. 9.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) test on one group only (d) add varied examples
10. 10.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) skip testing (d) add varied examples
11. 11.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) add more of the same (d) use one group only
12. 12.True or false: “add varied examples” helps reduce bias. (a) True (b) False
13. 13.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
14. 14.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
15. 15.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
16. 16.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) test on many groups (d) fix wrong labels
18. 18.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
20. 20.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
21. 21.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
22. 22.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
23. 23.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
24. 24.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
25. 25.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
26. 26.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
27. 27.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
28. 28.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) ignore complaints (d) balance the data
29. 29.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
30. 30.Which of these adds to bias? (a) balance the data (b) add more of the same (c) check who is missing (d) add varied examples
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.True or false: “use one group only” adds to bias. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) test on many groups
34. 34.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) check who is missing (d) copy old unfair choices
35. 35.Which of these helps reduce bias? (a) balance the data (b) ignore complaints (c) add more of the same (d) copy old unfair choices
36. 36.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) copy old unfair choices (d) check who is missing
38. 38.🗣️ 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) few child voices in data (d) children speak too fast
39. 39.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
40. 40.True or false: “test on one group only” adds to bias. (a) False (b) True

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