AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 116 · 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 of these helps reduce bias? (a) skip testing (b) test on many groups (c) test on one group only (d) ignore complaints
2. 2.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced 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: “test on one group only” adds to bias. (a) True (b) False
5. 5.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
6. 6.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) copy old unfair choices (d) balance the data
7. 7.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
8. 8.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
9. 9.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) copy old unfair choices (d) fix wrong labels
10. 10.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) test on one group only (d) balance the data
11. 11.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) ignore complaints (d) check who is missing
12. 12.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
13. 13.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
14. 14.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
15. 15.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) ignore complaints (d) add more of the same
16. 16.True or false: “check who is missing” adds to bias. (a) True (b) False
17. 17.Which of these adds to bias? (a) add varied examples (b) skip testing (c) check who is missing (d) balance the data
18. 18.Which of these adds to bias? (a) test on many groups (b) balance the data (c) check who is missing (d) use one group only
19. 19.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
21. 21.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
22. 22.Which of these adds to bias? (a) ask different people (b) ignore complaints (c) balance the data (d) add varied examples
23. 23.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
24. 24.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
25. 25.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.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
27. 27.Which of these adds to bias? (a) balance the data (b) ask different people (c) add more of the same (d) add varied examples
28. 28.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) balance the data (d) fix wrong labels
29. 29.True or false: “check who is missing” helps reduce bias. (a) False (b) True
30. 30.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
31. 31.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) add varied examples (d) add more of the same
32. 32.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) fix wrong labels (d) balance the data
34. 34.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) ask different people
36. 36.True or false: “test on one group only” helps reduce bias. (a) True (b) False
37. 37.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
38. 38.🗣️ 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
39. 39.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias

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