AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 121 · 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: “add more of the same” helps reduce bias. (a) False (b) True
2. 2.Which of these helps reduce bias? (a) balance the data (b) skip testing (c) copy old unfair choices (d) add more of the same
3. 3.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
4. 4.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
5. 5.True or false: “test on one group only” adds to bias. (a) True (b) False
6. 6.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
7. 7.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) skip testing (d) add more of the same
8. 8.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) check who is missing (d) copy old unfair choices
9. 9.True or false: “add varied examples” helps reduce bias. (a) False (b) True
10. 10.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) test on many groups (d) add varied examples
11. 11.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) test on many groups (d) ignore complaints
12. 12.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) ignore complaints (d) add more of the same
13. 13.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
14. 14.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
15. 15.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
17. 17.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
18. 18.🖼️ 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
19. 19.Which of these adds to bias? (a) ask different people (b) add more of the same (c) fix wrong labels (d) add varied examples
20. 20.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
21. 21.True or false: “test on many groups” adds to bias. (a) True (b) False
22. 22.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) use one group only (d) copy old unfair choices
23. 23.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
24. 24.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) add varied examples (d) ignore complaints
25. 25.True or false: “check who is missing” helps reduce bias. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) copy old unfair choices (d) ask different people
27. 27.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) add more of the same (d) balance the data
28. 28.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) add varied examples (d) ignore complaints
29. 29.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
30. 30.True or false: “skip testing” adds to bias. (a) False (b) True
31. 31.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
32. 32.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
33. 33.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
34. 34.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
35. 35.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
36. 36.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) test on one group only
37. 37.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
38. 38.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
40. 40.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias

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