AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 785 · 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 adds to bias? (a) check who is missing (b) test on one group only (c) add varied examples (d) fix wrong labels
2. 2.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) add more of the same (d) check who is missing
3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
5. 5.True or false: “ask different people” adds to bias. (a) False (b) True
6. 6.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
7. 7.Which of these adds to bias? (a) check who is missing (b) copy old unfair choices (c) ask different people (d) balance the data
8. 8.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
10. 10.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
11. 11.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
12. 12.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
13. 13.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) fix wrong labels (d) add varied examples
15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) the phone was new (d) it was a rainy day
16. 16.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) test on one group only (d) balance the data
17. 17.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) add more of the same (d) add varied examples
18. 18.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) ignore complaints (d) skip testing
19. 19.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
20. 20.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
21. 21.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
22. 22.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
23. 23.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) ignore complaints (d) use one group only
24. 24.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) add more of the same (d) use one group only
25. 25.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
26. 26.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
27. 27.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) check who is missing (d) test on one group only
28. 28.True or false: “add varied examples” helps reduce bias. (a) True (b) False
29. 29.True or false: “balance the data” adds to bias. (a) False (b) True
30. 30.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) use one group only (d) ask different people
31. 31.True or false: “add varied examples” adds to bias. (a) True (b) False
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 of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) check who is missing (d) copy old unfair choices
34. 34.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
35. 35.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) ignore complaints (d) skip testing
37. 37.True or false: “check who is missing” helps reduce bias. (a) False (b) True
38. 38.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
39. 39.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
40. 40.True or false: “ask different people” helps reduce bias. (a) False (b) True

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