AI Bias Worksheet for Kids

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

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