AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 72 · 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 is the odd one out? (a) fix wrong labels (b) use one group only (c) add varied examples (d) balance the data
2. 2.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) check who is missing (d) ignore complaints
3. 3.Which of these adds to bias? (a) check who is missing (b) balance the data (c) ignore complaints (d) add varied examples
4. 4.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) test on one group only (d) balance the data
5. 5.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
6. 6.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
7. 7.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) add varied examples (d) balance the data
9. 9.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
10. 10.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) ask different people (d) copy old unfair choices
11. 11.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
12. 12.Which of these adds to bias? (a) add varied examples (b) ask different people (c) check who is missing (d) skip testing
13. 13.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) use one group only (d) skip testing
15. 15.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
16. 16.🖼️ 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
17. 17.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
18. 18.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
19. 19.🗣️ 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
20. 20.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.True or false: “balance the data” helps reduce bias. (a) False (b) True
22. 22.True or false: “check who is missing” adds to bias. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) ask different people (d) check who is missing
24. 24.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
26. 26.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) skip testing (d) test on one group only
27. 27.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
29. 29.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
30. 30.True or false: “test on many groups” helps reduce bias. (a) False (b) True
31. 31.True or false: “add varied examples” adds to bias. (a) True (b) False
32. 32.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
33. 33.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
36. 36.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
37. 37.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) test on one group only (d) ask different people
38. 38.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
39. 39.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
40. 40.True or false: “add varied examples” helps reduce bias. (a) False (b) True

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