AI Bias Worksheet for Kids

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

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