AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 553 · 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) ask different people (b) add varied examples (c) test on many groups (d) use one group only
2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
3. 3.True or false: “ignore complaints” adds to bias. (a) True (b) False
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
5. 5.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
6. 6.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
7. 7.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) test on many groups (d) ask different people
8. 8.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) add more of the same (d) ask different people
9. 9.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
10. 10.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) add more of the same (d) ignore complaints
11. 11.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) copy old unfair choices (d) ignore complaints
12. 12.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
13. 13.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
14. 14.True or false: “use one group only” helps reduce bias. (a) True (b) False
15. 15.True or false: “fix wrong labels” adds to bias. (a) False (b) True
16. 16.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
17. 17.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) add more of the same (d) check who is missing
18. 18.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) test on many groups (d) test on one group only
19. 19.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) skip testing (d) ask different people
20. 20.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
21. 21.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
22. 22.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) skip testing
23. 23.True or false: “add varied examples” helps reduce bias. (a) False (b) True
24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
25. 25.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) copy old unfair choices (d) add more of the same
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.True or false: “test on many groups” helps reduce bias. (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) copy old unfair choices (d) check who is missing
29. 29.True or false: “balance the data” adds to bias. (a) True (b) False
30. 30.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
31. 31.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
32. 32.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) ignore complaints (d) add varied examples
34. 34.Which of these adds to bias? (a) test on one group only (b) ask different people (c) add varied examples (d) test on many groups
35. 35.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) ignore complaints (d) check who is missing
36. 36.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
37. 37.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) test on many groups (d) balance the data
38. 38.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
40. 40.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias

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