AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 727 · 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) ignore complaints (b) test on many groups (c) skip testing (d) test on one group only
2. 2.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) balance the data (d) copy old unfair choices
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
4. 4.Which of these adds to bias? (a) ask different people (b) check who is missing (c) copy old unfair choices (d) test on many groups
5. 5.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
6. 6.True or false: “add more of the same” adds to bias. (a) True (b) False
7. 7.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
8. 8.Which of these helps reduce bias? (a) use one group only (b) ask different people (c) test on one group only (d) copy old unfair choices
9. 9.🗣️ 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
10. 10.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
11. 11.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) test on many groups (d) check who is missing
12. 12.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
13. 13.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
14. 14.Which of these adds to bias? (a) test on many groups (b) ask different people (c) ignore complaints (d) balance the data
15. 15.True or false: “test on many groups” helps reduce bias. (a) False (b) True
16. 16.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
17. 17.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
18. 18.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) use one group only (d) balance the data
20. 20.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
21. 21.True or false: “use one group only” helps reduce bias. (a) True (b) False
22. 22.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
26. 26.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
27. 27.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
28. 28.Which of these helps reduce bias? (a) balance the data (b) skip testing (c) ignore complaints (d) copy old unfair choices
29. 29.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
30. 30.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) skip testing (d) fix wrong labels
31. 31.Which of these adds to bias? (a) test on many groups (b) use one group only (c) ask different people (d) add varied examples
32. 32.True or false: “use one group only” adds to bias. (a) True (b) False
33. 33.🖼️ 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
34. 34.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) skip testing (d) test on many groups
35. 35.Which of these adds to bias? (a) add more of the same (b) test on many groups (c) ask different people (d) balance the data
36. 36.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
37. 37.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
38. 38.Which of these adds to bias? (a) balance the data (b) test on many groups (c) check who is missing (d) skip testing
39. 39.True or false: “check who is missing” adds to bias. (a) True (b) False
40. 40.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data

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