AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 894 · 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) copy old unfair choices (b) add varied examples (c) ignore complaints (d) skip testing
2. 2.True or false: “skip testing” adds to bias. (a) True (b) False
3. 3.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
5. 5.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
6. 6.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
7. 7.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) ask different people (d) copy old unfair choices
8. 8.🗣️ 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) it was a rainy day (d) children speak too fast
9. 9.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
10. 10.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
11. 11.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
12. 12.True or false: “skip testing” helps reduce bias. (a) False (b) True
13. 13.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
14. 14.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
15. 15.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
16. 16.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
17. 17.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) add varied examples (d) add more of the same
19. 19.True or false: “check who is missing” helps reduce bias. (a) False (b) True
20. 20.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
21. 21.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) ask different people (d) add varied examples
22. 22.Which of these adds to bias? (a) balance the data (b) use one group only (c) add varied examples (d) check who is missing
23. 23.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
24. 24.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
25. 25.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
26. 26.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) check who is missing (d) use one group only
27. 27.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
28. 28.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
29. 29.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
30. 30.True or false: a leaf app trained only on summer leaves 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.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
33. 33.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
34. 34.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
35. 35.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) test on one group only (d) balance the data
37. 37.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) add more of the same (d) ask different people
38. 38.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) skip testing (d) use one group only
39. 39.Which of these adds to bias? (a) check who is missing (b) ask different people (c) test on many groups (d) test on one group only
40. 40.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) use one group only (d) test on many groups

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