AI Bias Worksheet for Kids

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

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