AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 523 · 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: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
2. 2.True or false: “ignore complaints” adds to bias. (a) True (b) False
3. 3.Which of these adds to bias? (a) ask different people (b) check who is missing (c) fix wrong labels (d) ignore complaints
4. 4.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
5. 5.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
6. 6.🗣️ 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) few child voices in data (d) children speak too fast
7. 7.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
8. 8.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) balance the data (d) skip testing
9. 9.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) test on many groups (d) fix wrong labels
10. 10.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
11. 11.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
12. 12.Which of these adds to bias? (a) balance the data (b) ask different people (c) test on one group only (d) check who is missing
13. 13.True or false: “check who is missing” adds to bias. (a) False (b) True
14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
15. 15.True or false: “test on one group only” adds to bias. (a) False (b) True
16. 16.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
17. 17.True or false: “ask different people” adds to bias. (a) True (b) False
18. 18.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
19. 19.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
20. 20.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
22. 22.True or false: “test on many groups” adds to bias. (a) True (b) False
23. 23.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) add varied examples (d) test on many groups
24. 24.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) test on many groups (d) add more of the same
25. 25.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
26. 26.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) skip testing (d) ask different people
27. 27.Which of these adds to bias? (a) add more of the same (b) fix wrong labels (c) test on many groups (d) add varied examples
28. 28.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
29. 29.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
30. 30.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) ignore complaints (d) fix wrong labels
31. 31.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
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: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
35. 35.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
36. 36.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) add varied examples
38. 38.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
39. 39.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.True or false: “use one group only” helps reduce bias. (a) False (b) True

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