AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 320 · 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.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
3. 3.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) copy old unfair choices (d) test on one group only
4. 4.🔍 Which is the odd one out? (a) skip testing (b) check who is missing (c) ask different people (d) test on many groups
5. 5.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
6. 6.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
7. 7.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
8. 8.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
9. 9.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
10. 10.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
12. 12.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
13. 13.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) copy old unfair choices (d) add varied examples
14. 14.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
15. 15.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
16. 16.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) add more of the same (d) balance the data
17. 17.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
18. 18.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
19. 19.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
20. 20.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
21. 21.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) ignore complaints (d) test on many groups
22. 22.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
23. 23.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
24. 24.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) ask different people
25. 25.🗣️ 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) the phone was new (d) few child voices in data
26. 26.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
27. 27.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
28. 28.True or false: “ask different people” adds to bias. (a) False (b) True
29. 29.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
31. 31.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) check who is missing (d) use one group only
32. 32.True or false: “fix wrong labels” adds to bias. (a) True (b) False
33. 33.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
34. 34.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) check who is missing (d) balance the data
35. 35.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
36. 36.True or false: “use one group only” helps reduce bias. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) use one group only (d) balance the data
38. 38.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) copy old unfair choices (d) ignore complaints
39. 39.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
40. 40.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) use one group only (d) fix wrong labels

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