AI Bias Worksheet for Kids

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

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