AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 606 · 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.True or false: “test on one group only” adds to bias. (a) True (b) False
2. 2.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
3. 3.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
4. 4.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
5. 5.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
6. 6.True or false: “add varied examples” adds to bias. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on many groups (d) copy old unfair choices
8. 8.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
9. 9.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
10. 10.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
11. 11.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
12. 12.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
13. 13.True or false: “check who is missing” adds to bias. (a) True (b) False
14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
15. 15.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) add varied examples (d) skip testing
16. 16.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
18. 18.Which of these helps reduce bias? (a) fix wrong labels (b) copy old unfair choices (c) add more of the same (d) test on one group only
19. 19.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.🖼️ 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
21. 21.Which of these helps reduce bias? (a) skip testing (b) check who is missing (c) copy old unfair choices (d) add more of the same
22. 22.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.True or false: “balance the data” helps reduce bias. (a) False (b) True
25. 25.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
26. 26.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) test on one group only (d) balance the data
27. 27.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) copy old unfair choices (d) add varied examples
28. 28.Which of these adds to bias? (a) ask different people (b) add varied examples (c) test on many groups (d) skip testing
29. 29.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
30. 30.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
31. 31.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
32. 32.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
33. 33.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
34. 34.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) copy old unfair choices (d) balance the data
35. 35.Which of these adds to bias? (a) fix wrong labels (b) add more of the same (c) balance the data (d) ask different people
36. 36.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
38. 38.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
39. 39.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) use one group only (d) test on many groups
40. 40.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) fix wrong labels (d) add more of the same

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