AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 103 · 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.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
2. 2.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) add varied examples (d) ignore complaints
3. 3.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
4. 4.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
5. 5.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
6. 6.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
7. 7.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) add varied examples
8. 8.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
9. 9.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) test on many groups (d) balance the data
10. 10.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
11. 11.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
12. 12.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
13. 13.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
14. 14.Which of these adds to bias? (a) add varied examples (b) balance the data (c) skip testing (d) check who is missing
15. 15.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
16. 16.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) test on many groups (d) skip testing
17. 17.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
19. 19.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
20. 20.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) test on many groups (d) balance the data
21. 21.True or false: “use one group only” adds to bias. (a) True (b) False
22. 22.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) skip testing (d) use one group only
23. 23.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
24. 24.True or false: “add varied examples” adds to bias. (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
26. 26.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
27. 27.True or false: “add more of the same” helps reduce bias. (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) ask different people (d) add varied examples
29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) ignore complaints (d) skip testing
30. 30.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
31. 31.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
32. 32.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) check who is missing
33. 33.True or false: “add more of the same” adds to bias. (a) True (b) False
34. 34.True or false: “ask different people” helps reduce bias. (a) True (b) False
35. 35.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
36. 36.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on one group only (d) ask different people
37. 37.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
38. 38.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) balance the data (d) use one group only
39. 39.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
40. 40.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False

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