AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 634 · 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 of these adds to bias? (a) fix wrong labels (b) ask different people (c) test on many groups (d) ignore complaints
2. 2.True or false: “balance the data” adds to bias. (a) True (b) False
3. 3.Which of these adds to bias? (a) test on one group only (b) check who is missing (c) test on many groups (d) add varied examples
4. 4.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
7. 7.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided 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.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) add varied examples (d) add more of the same
10. 10.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) balance the data (d) copy old unfair choices
11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
12. 12.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
13. 13.Which of these adds to bias? (a) fix wrong labels (b) use one group only (c) test on many groups (d) ask different people
14. 14.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.True or false: “test on many groups” helps reduce bias. (a) False (b) True
16. 16.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
18. 18.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
19. 19.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) ignore complaints (d) ask different people
20. 20.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
21. 21.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
22. 22.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
23. 23.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
24. 24.True or false: “ask different people” helps reduce bias. (a) False (b) True
25. 25.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
26. 26.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
27. 27.True or false: “add varied examples” helps reduce bias. (a) False (b) True
28. 28.Which of these helps reduce bias? (a) skip testing (b) check who is missing (c) test on one group only (d) add more of the same
29. 29.True or false: “ignore complaints” adds to bias. (a) False (b) True
30. 30.🗣️ 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
31. 31.True or false: “use one group only” helps reduce bias. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) use one group only (d) fix wrong labels
33. 33.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
34. 34.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) add more of the same (d) skip testing
35. 35.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
36. 36.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
37. 37.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) check who is missing (d) add more of the same
38. 38.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) add varied examples (d) ask different people
39. 39.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
40. 40.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes

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