AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 243 · 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.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
2. 2.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
3. 3.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
5. 5.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
6. 6.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
7. 7.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) test on one group only (d) balance the data
8. 8.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
9. 9.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
10. 10.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
11. 11.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
12. 12.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
13. 13.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
14. 14.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
15. 15.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
17. 17.Which of these adds to bias? (a) skip testing (b) test on many groups (c) check who is missing (d) add varied examples
18. 18.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
19. 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
20. 20.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
21. 21.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
22. 22.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) fix wrong labels (d) copy old unfair choices
24. 24.True or false: “skip testing” helps reduce bias. (a) False (b) True
25. 25.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
26. 26.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) add more of the same (d) test on many groups
27. 27.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) skip testing (d) fix wrong labels
28. 28.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
29. 29.True or false: “ask different people” adds to bias. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) add varied examples (d) fix wrong labels
31. 31.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) ask different people (d) test on one group only
32. 32.True or false: “skip testing” adds to bias. (a) True (b) False
33. 33.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ignore complaints (d) test on many groups
34. 34.True or false: “check who is missing” helps reduce bias. (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) add varied examples (d) test on many groups
36. 36.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
38. 38.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
39. 39.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
40. 40.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data

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