AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 909 · 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) check who is missing (b) use one group only (c) test on many groups (d) balance the data
2. 2.Which of these adds to bias? (a) ask different people (b) skip testing (c) fix wrong labels (d) add varied examples
3. 3.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) fix wrong labels (d) copy old unfair choices
4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
5. 5.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
6. 6.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
7. 7.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
8. 8.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
9. 9.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) fix wrong labels (d) check who is missing
10. 10.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) check who is missing (d) test on many groups
11. 11.Which of these adds to bias? (a) ask different people (b) test on many groups (c) add varied examples (d) test on one group only
12. 12.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
13. 13.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) ignore complaints (d) add varied examples
14. 14.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
15. 15.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
16. 16.True or false: “add more of the same” adds to bias. (a) False (b) True
17. 17.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
19. 19.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
21. 21.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) add varied examples (d) add more of the same
22. 22.True or false: “ask different people” adds to bias. (a) False (b) True
23. 23.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
24. 24.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
25. 25.True or false: “ignore complaints” adds to bias. (a) True (b) False
26. 26.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
27. 27.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) use one group only (d) skip testing
28. 28.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
29. 29.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
30. 30.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
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.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) use one group only (d) check who is missing
33. 33.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
34. 34.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) skip testing (d) use one group only
35. 35.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
36. 36.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
37. 37.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
38. 38.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) skip testing (d) balance the data
39. 39.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
40. 40.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

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