AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 795 · 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 helps reduce bias? (a) add varied examples (b) ignore complaints (c) skip testing (d) add more of the same
2. 2.True or false: “use one group only” helps reduce bias. (a) False (b) True
3. 3.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) check who is missing (d) balance the data
4. 4.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) balance the data (d) ignore complaints
5. 5.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
6. 6.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
7. 7.🖼️ 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
8. 8.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) add more of the same
9. 9.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
10. 10.True or false: “add varied examples” adds to bias. (a) False (b) True
11. 11.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
12. 12.Which of these adds to bias? (a) check who is missing (b) copy old unfair choices (c) fix wrong labels (d) test on many groups
13. 13.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) ignore complaints (d) use one group only
14. 14.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
15. 15.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
16. 16.Which of these helps reduce bias? (a) test on many groups (b) add more of the same (c) use one group only (d) ignore complaints
17. 17.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
18. 18.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) ignore complaints (d) add more of the same
19. 19.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
20. 20.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) check who is missing
21. 21.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
22. 22.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.Which of these helps reduce bias? (a) skip testing (b) fix wrong labels (c) test on one group only (d) use one group only
24. 24.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
25. 25.Which of these adds to bias? (a) balance the data (b) test on one group only (c) ask different people (d) check who is missing
26. 26.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
27. 27.True or false: “test on one group only” helps reduce bias. (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) use one group only (d) test on one group only
29. 29.True or false: “ignore complaints” adds to bias. (a) False (b) True
30. 30.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
31. 31.Which of these adds to bias? (a) test on many groups (b) use one group only (c) fix wrong labels (d) add varied examples
32. 32.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
33. 33.True or false: “add more of the same” adds to bias. (a) False (b) True
34. 34.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
35. 35.True or false: “check who is missing” adds to bias. (a) False (b) True
36. 36.True or false: “ask different people” adds to bias. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) fix wrong labels (d) test on many groups
38. 38.True or false: “fix wrong labels” adds to bias. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) test on many groups (d) add varied examples
40. 40.True or false: “add varied examples” helps reduce bias. (a) False (b) True

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