AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 977 · 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.🖼️ 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
2. 2.Which of these adds to bias? (a) use one group only (b) check who is missing (c) ask different people (d) balance the data
3. 3.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) test on one group only (d) check who is missing
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
5. 5.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) skip testing (d) ask different people
6. 6.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) test on one group only (d) skip testing
7. 7.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
8. 8.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
9. 9.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
10. 10.True or false: “test on many groups” helps reduce bias. (a) True (b) False
11. 11.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) test on many groups (d) copy old unfair choices
12. 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
13. 13.True or false: “skip testing” helps reduce bias. (a) True (b) False
14. 14.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
17. 17.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
18. 18.True or false: “check who is missing” adds to bias. (a) False (b) True
19. 19.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
21. 21.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) add varied examples (d) add more of the same
22. 22.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) balance the data (d) copy old unfair choices
23. 23.Which of these adds to bias? (a) ask different people (b) test on many groups (c) test on one group only (d) add varied examples
24. 24.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) test on many groups (d) use one group only
25. 25.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
26. 26.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
27. 27.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
28. 28.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
29. 29.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
30. 30.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) add varied examples (d) skip testing
31. 31.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
32. 32.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
33. 33.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) balance the data (d) use one group only
34. 34.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
36. 36.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) add varied examples (d) test on many groups
37. 37.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
38. 38.True or false: “fix wrong labels” adds to bias. (a) True (b) False
39. 39.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
40. 40.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data

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