AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 246 · 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: “add varied examples” helps reduce bias. (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) ask different people (d) use one group only
3. 3.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
4. 4.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
5. 5.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
6. 6.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
7. 7.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
8. 8.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) ignore complaints (d) skip testing
9. 9.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
10. 10.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
11. 11.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) test on one group only (d) ignore complaints
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.True or false: “ask different people” adds to bias. (a) True (b) False
14. 14.Which of these helps reduce bias? (a) skip testing (b) check who is missing (c) copy old unfair choices (d) add more of the same
15. 15.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
16. 16.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
17. 17.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
18. 18.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) copy old unfair choices (d) check who is missing
19. 19.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
20. 20.Which of these adds to bias? (a) test on many groups (b) skip testing (c) check who is missing (d) fix wrong labels
21. 21.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
22. 22.🖼️ 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
23. 23.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) add varied examples (d) check who is missing
24. 24.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.Which of these helps reduce bias? (a) fix wrong labels (b) test on one group only (c) ignore complaints (d) use one group only
26. 26.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ask different people (d) test on one group only
27. 27.True or false: “add more of the same” adds to bias. (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) skip testing (d) fix wrong labels
29. 29.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
30. 30.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
31. 31.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
32. 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
33. 33.True or false: “test on one group only” helps reduce bias. (a) False (b) True
34. 34.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
35. 35.True or false: “check who is missing” helps reduce bias. (a) False (b) True
36. 36.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
37. 37.Which of these adds to bias? (a) use one group only (b) check who is missing (c) test on many groups (d) balance the data
38. 38.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) copy old unfair choices (d) test on one group only
40. 40.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True

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