AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 380 · 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) test on one group only (b) add varied examples (c) ask different people (d) balance the data
2. 2.Which of these helps reduce bias? (a) check who is missing (b) ignore complaints (c) copy old unfair choices (d) use one group only
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
4. 4.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) fix wrong labels (d) balance the data
5. 5.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
6. 6.Which of these adds to bias? (a) test on one group only (b) fix wrong labels (c) balance the data (d) ask different people
7. 7.🖼️ 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
8. 8.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.True or false: “check who is missing” helps reduce bias. (a) False (b) True
10. 10.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
11. 11.True or false: “add varied examples” adds to bias. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) ignore complaints (d) test on many groups
13. 13.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) add varied examples (d) copy old unfair choices
14. 14.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
15. 15.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
16. 16.True or false: “test on many groups” adds to bias. (a) True (b) False
17. 17.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
18. 18.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
19. 19.True or false: “balance the data” helps reduce bias. (a) True (b) False
20. 20.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
21. 21.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
22. 22.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) skip testing (d) fix wrong labels
23. 23.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) test on one group only (d) copy old unfair choices
24. 24.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
25. 25.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
26. 26.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
27. 27.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
28. 28.Which of these helps reduce bias? (a) test on many groups (b) add more of the same (c) ignore complaints (d) skip testing
29. 29.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
31. 31.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) use one group only (d) balance the data
33. 33.True or false: “ask different people” adds to bias. (a) False (b) True
34. 34.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
35. 35.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
36. 36.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
37. 37.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) ask different people (d) test on many groups
38. 38.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
39. 39.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) skip testing (d) add varied examples
40. 40.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) balance the data (d) check who is missing

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