AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 51 · 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: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
2. 2.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) add more of the same (d) skip testing
3. 3.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) check who is missing (d) use one group only
4. 4.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
5. 5.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) balance the data (d) add more of the same
6. 6.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
7. 7.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) skip testing (d) use one group only
8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
9. 9.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) add more of the same (d) copy old unfair choices
10. 10.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
11. 11.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) skip testing (d) balance the data
12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
13. 13.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
14. 14.True or false: “add more of the same” helps reduce bias. (a) False (b) True
15. 15.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) ignore complaints
16. 16.True or false: “test on one group only” helps reduce bias. (a) False (b) True
17. 17.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
18. 18.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) ask different people (d) balance the data
19. 19.🖼️ 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
20. 20.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) ask different people (d) ignore complaints
22. 22.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
23. 23.True or false: “add more of the same” adds to bias. (a) False (b) True
24. 24.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
25. 25.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) add varied examples (d) ignore complaints
26. 26.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
27. 27.True or false: “check who is missing” adds to bias. (a) False (b) True
28. 28.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) use one group only (d) test on many groups
30. 30.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
31. 31.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
32. 32.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
33. 33.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
34. 34.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
35. 35.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
36. 36.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
37. 37.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) test on one group only (d) check who is missing
38. 38.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) add varied examples (d) fix wrong labels
40. 40.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias

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