AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 468 · 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.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
2. 2.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) balance the data (d) skip testing
3. 3.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
4. 4.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
5. 5.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
6. 6.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
7. 7.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
8. 8.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) fix wrong labels (d) test on one group only
9. 9.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
10. 10.🖼️ 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
11. 11.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) test on many groups (d) skip testing
12. 12.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) use one group only (d) test on many groups
14. 14.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) skip testing (d) ignore complaints
15. 15.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
16. 16.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
17. 17.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
18. 18.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.True or false: “ask different people” helps reduce bias. (a) True (b) False
20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
21. 21.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
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.True or false: “test on one group only” helps reduce bias. (a) True (b) False
24. 24.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
25. 25.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
26. 26.Which of these adds to bias? (a) ask different people (b) ignore complaints (c) test on many groups (d) add varied examples
27. 27.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
28. 28.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
30. 30.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
31. 31.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
32. 32.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
33. 33.True or false: “test on many groups” adds to bias. (a) True (b) False
34. 34.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
35. 35.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
36. 36.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) test on one group only (d) ask different people
37. 37.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
38. 38.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
39. 39.Which of these adds to bias? (a) check who is missing (b) ask different people (c) use one group only (d) fix wrong labels
40. 40.True or false: “check who is missing” adds to bias. (a) False (b) True

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