AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 451 · 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 is the odd one out? (a) test on many groups (b) use one group only (c) add more of the same (d) skip testing
2. 2.Which of these adds to bias? (a) add more of the same (b) balance the data (c) fix wrong labels (d) ask different people
3. 3.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) test on one group only (d) add more of the same
4. 4.🗣️ 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
5. 5.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
6. 6.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) test on one group only
7. 7.True or false: “balance the data” helps reduce bias. (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
9. 9.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) add more of the same (d) ask different people
10. 10.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.True or false: “check who is missing” helps reduce bias. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) copy old unfair choices (d) skip testing
13. 13.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
14. 14.True or false: “add more of the same” helps reduce bias. (a) False (b) True
15. 15.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
16. 16.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
17. 17.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
18. 18.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
20. 20.True or false: “add varied examples” adds to bias. (a) False (b) True
21. 21.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
22. 22.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) add varied examples (d) fix wrong labels
24. 24.Which of these adds to bias? (a) skip testing (b) check who is missing (c) balance the data (d) test on many groups
25. 25.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
26. 26.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
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.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.True or false: “balance the data” adds to bias. (a) False (b) True
30. 30.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
31. 31.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) test on one group only (d) skip testing
32. 32.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
33. 33.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
35. 35.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
36. 36.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
37. 37.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
38. 38.Which of these adds to bias? (a) balance the data (b) use one group only (c) add varied examples (d) fix wrong labels
39. 39.True or false: “skip testing” helps reduce bias. (a) True (b) False
40. 40.Which of these adds to bias? (a) copy old unfair choices (b) balance the data (c) check who is missing (d) ask different people

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