AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 303 · 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.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) use one group only (d) test on many groups
2. 2.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) skip testing (d) test on one group only
3. 3.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
5. 5.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
7. 7.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
8. 8.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
9. 9.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) ignore complaints (d) check who is missing
10. 10.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
11. 11.True or false: “use one group only” adds to bias. (a) True (b) False
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
13. 13.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) test on many groups (d) skip testing
14. 14.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
15. 15.True or false: “test on one group only” adds to bias. (a) True (b) False
16. 16.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
17. 17.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
18. 18.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
19. 19.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) test on one group only (d) add varied examples
20. 20.True or false: “add varied examples” helps reduce bias. (a) False (b) True
21. 21.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
22. 22.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
23. 23.Which of these helps reduce bias? (a) ask different people (b) ignore complaints (c) use one group only (d) add more of the same
24. 24.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) add more of the same (d) copy old unfair choices
25. 25.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) balance the data (d) ask different people
26. 26.True or false: “skip testing” helps reduce bias. (a) True (b) False
27. 27.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
28. 28.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
29. 29.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
30. 30.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.True or false: “balance the data” helps reduce bias. (a) True (b) False
32. 32.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
33. 33.Which of these adds to bias? (a) skip testing (b) check who is missing (c) test on many groups (d) balance the data
34. 34.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on many groups (d) test on one group only
35. 35.True or false: “check who is missing” adds to bias. (a) True (b) False
36. 36.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
37. 37.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
38. 38.Which of these adds to bias? (a) check who is missing (b) add more of the same (c) test on many groups (d) balance the data
39. 39.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
40. 40.True or false: “fix wrong labels” adds to bias. (a) True (b) False

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