AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 225 · 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 one-sided data (likely to make a biased model). (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) fix wrong labels (d) add more of the same
3. 3.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) balance the data (d) add more of the same
4. 4.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
5. 5.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) ignore complaints (d) balance the data
6. 6.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
7. 7.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
8. 8.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
9. 9.True or false: “test on many groups” helps reduce bias. (a) True (b) False
10. 10.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
11. 11.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
13. 13.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
14. 14.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) use one group only (d) check who is missing
15. 15.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
16. 16.🗣️ 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
17. 17.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
18. 18.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
19. 19.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
20. 20.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
21. 21.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) balance the data (d) ask different people
22. 22.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
23. 23.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
24. 24.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
25. 25.True or false: “check who is missing” adds to bias. (a) False (b) True
26. 26.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
27. 27.True or false: “test on one group only” helps reduce bias. (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) test on many groups (d) ignore complaints
29. 29.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) use one group only (d) fix wrong labels
30. 30.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
31. 31.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) copy old unfair choices (d) ask different people
32. 32.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) test on many groups (d) skip testing
33. 33.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
34. 34.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) check who is missing (d) skip testing
35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
36. 36.Which of these helps reduce bias? (a) use one group only (b) ask different people (c) skip testing (d) ignore complaints
37. 37.True or false: “ignore complaints” adds to bias. (a) False (b) True
38. 38.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
39. 39.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) skip testing (d) check who is missing
40. 40.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias

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