AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 199 · 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) add varied examples (b) add more of the same (c) check who is missing (d) ask different people
2. 2.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
3. 3.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
4. 4.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
6. 6.True or false: “use one group only” adds to bias. (a) True (b) False
7. 7.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
8. 8.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
9. 9.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
10. 10.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
11. 11.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
12. 12.Which of these helps reduce bias? (a) ignore complaints (b) check who is missing (c) skip testing (d) use one group only
13. 13.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
14. 14.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) ignore complaints (d) use one group only
15. 15.True or false: “fix wrong labels” adds to bias. (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) copy old unfair choices (d) use one group only
17. 17.Which of these adds to bias? (a) test on many groups (b) ignore complaints (c) ask different people (d) fix wrong labels
18. 18.True or false: “skip testing” adds to bias. (a) True (b) False
19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
20. 20.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) add more of the same (d) fix wrong labels
21. 21.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) copy old unfair choices (d) ignore complaints
22. 22.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
23. 23.Which of these adds to bias? (a) ask different people (b) test on one group only (c) fix wrong labels (d) test on many groups
24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
25. 25.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) copy old unfair choices (d) ask different people
26. 26.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
28. 28.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
29. 29.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
30. 30.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) test on one group only (d) check who is missing
32. 32.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
33. 33.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
34. 34.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
35. 35.True or false: “test on one group only” adds to bias. (a) True (b) False
36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
37. 37.True or false: “ask different people” adds to bias. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) balance the data (d) skip testing
39. 39.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
40. 40.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False

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