AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 41 · 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 leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
2. 2.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
3. 3.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
4. 4.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
5. 5.Which of these adds to bias? (a) add more of the same (b) test on many groups (c) add varied examples (d) fix wrong labels
6. 6.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
7. 7.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
9. 9.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
10. 10.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) add more of the same (d) add varied examples
11. 11.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) check who is missing (d) copy old unfair choices
12. 12.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
13. 13.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.True or false: “check who is missing” adds to bias. (a) True (b) False
15. 15.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
16. 16.🖼️ 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
17. 17.🗣️ 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) the phone was new (d) few child voices in data
18. 18.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) test on one group only (d) fix wrong labels
19. 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
21. 21.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on many groups (d) test on one group only
22. 22.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
23. 23.True or false: “use one group only” adds to bias. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) test on many groups (d) fix wrong labels
25. 25.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
26. 26.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
27. 27.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
28. 28.True or false: “test on one group only” helps reduce bias. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) balance the data (d) ask different people
30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
31. 31.Which of these adds to bias? (a) ask different people (b) add varied examples (c) test on many groups (d) ignore complaints
32. 32.True or false: “test on many groups” adds to bias. (a) False (b) True
33. 33.True or false: “ask different people” helps reduce 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: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
36. 36.True or false: “skip testing” helps reduce bias. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) fix wrong labels (d) ignore complaints
38. 38.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) copy old unfair choices (d) ask different people
39. 39.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) test on one group only (d) copy old unfair choices
40. 40.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) use one group only (d) add varied examples

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