AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 673 · 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.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
4. 4.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
5. 5.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
6. 6.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
7. 7.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) use one group only (d) balance the data
8. 8.True or false: “ask different people” adds to bias. (a) True (b) False
9. 9.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
10. 10.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) ignore complaints (d) balance the data
11. 11.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
12. 12.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
13. 13.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
14. 14.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) ignore complaints (d) use one group only
16. 16.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) test on one group only (d) skip testing
17. 17.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
18. 18.True or false: “add varied examples” adds to bias. (a) True (b) False
19. 19.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
20. 20.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
21. 21.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) ask different people (d) test on one group only
23. 23.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) balance the data (d) use one group only
25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
26. 26.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
27. 27.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
28. 28.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
29. 29.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
30. 30.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
31. 31.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) ask different people (d) test on one group only
32. 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
33. 33.True or false: “test on one group only” helps reduce bias. (a) False (b) True
34. 34.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) ignore complaints (d) check who is missing
35. 35.True or false: “use one group only” helps reduce bias. (a) False (b) True
36. 36.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) ignore complaints (d) balance the data
37. 37.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
38. 38.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) use one group only (d) test on one group only
39. 39.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) test on one group only (d) fix wrong labels
40. 40.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias

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