AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 716 · 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 voice app trained only on adult voices? (a) one-sided data (b) balanced data
2. 2.Which of these adds to bias? (a) ask different people (b) balance the data (c) test on one group only (d) test on many groups
3. 3.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
4. 4.True or false: “test on many groups” helps reduce bias. (a) False (b) True
5. 5.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
6. 6.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
7. 7.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) copy old unfair choices (d) balance the data
8. 8.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) add varied examples (d) fix wrong labels
9. 9.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
10. 10.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
11. 11.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
12. 12.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) ignore complaints (d) check who is missing
14. 14.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
15. 15.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
17. 17.True or false: “balance the data” helps reduce bias. (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
19. 19.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) ignore complaints (d) test on many groups
20. 20.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
22. 22.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
23. 23.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
24. 24.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
25. 25.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) balance the data (d) skip testing
26. 26.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
27. 27.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
28. 28.True or false: “add more of the same” adds to bias. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) skip testing (d) ask different people
30. 30.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) skip testing (d) copy old unfair choices
31. 31.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
32. 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
33. 33.True or false: “skip testing” helps reduce bias. (a) True (b) False
34. 34.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) use one group only (d) balance the data
35. 35.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) skip testing (d) add varied examples
36. 36.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
37. 37.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) copy old unfair choices (d) add more of the same
38. 38.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) copy old unfair choices (d) ignore complaints
39. 39.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) add varied examples (d) test on many groups
40. 40.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias

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