AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 52 · 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.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) the phone was new (d) children speak too fast
2. 2.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
3. 3.Which of these adds to bias? (a) balance the data (b) use one group only (c) check who is missing (d) fix wrong labels
4. 4.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) check who is missing (d) ask different people
5. 5.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
7. 7.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
8. 8.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
9. 9.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
12. 12.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) skip testing (d) use one group only
13. 13.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
14. 14.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) add varied examples (d) fix wrong labels
15. 15.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
16. 16.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.Which of these helps reduce bias? (a) balance the data (b) skip testing (c) add more of the same (d) test on one group only
18. 18.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) balance the data (d) test on many groups
19. 19.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
20. 20.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
21. 21.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) add more of the same (d) test on one group only
22. 22.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
23. 23.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) use one group only (d) test on one group only
24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
26. 26.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) ask different people (d) add varied examples
27. 27.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
28. 28.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
29. 29.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
30. 30.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
31. 31.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
33. 33.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
34. 34.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
35. 35.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
36. 36.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
37. 37.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
38. 38.Which of these adds to bias? (a) balance the data (b) add varied examples (c) ignore complaints (d) test on many groups
39. 39.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) test on many groups (d) fix wrong labels
40. 40.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False

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