AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 519 · 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: leaves from every season of the year? (a) one-sided data (b) balanced data
2. 2.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
3. 3.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
4. 4.Which of these helps reduce bias? (a) fix wrong labels (b) skip testing (c) test on one group only (d) copy old unfair choices
5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
7. 7.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
8. 8.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
10. 10.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
11. 11.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
12. 12.True or false: “check who is missing” helps reduce bias. (a) True (b) False
13. 13.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
14. 14.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
15. 15.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) copy old unfair choices (d) skip testing
16. 16.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) copy old unfair choices (d) use one group only
17. 17.True or false: “ask different people” adds to bias. (a) True (b) False
18. 18.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
19. 19.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) ignore complaints (d) skip testing
20. 20.Which of these adds to bias? (a) ask different people (b) check who is missing (c) add varied examples (d) use one group only
21. 21.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) test on many groups (d) balance the data
22. 22.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
23. 23.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
24. 24.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
25. 25.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
26. 26.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
27. 27.True or false: “add varied examples” adds to bias. (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) skip testing (d) add varied examples
29. 29.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) add varied examples (d) check who is missing
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.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) add varied examples
32. 32.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) balance the data (d) test on many groups
33. 33.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
34. 34.True or false: “test on one group only” adds to bias. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) add varied examples (d) check who is missing
36. 36.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
37. 37.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) add more of the same (d) test on one group only
38. 38.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) use one group only (d) test on one group only
39. 39.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
40. 40.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False

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