AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 705 · 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.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
2. 2.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
3. 3.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) fix wrong labels (d) balance the data
4. 4.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) check who is missing (d) test on many groups
5. 5.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
6. 6.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
7. 7.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
9. 9.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) ignore complaints (d) use one group only
11. 11.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
12. 12.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
13. 13.Which of these adds to bias? (a) balance the data (b) ignore complaints (c) fix wrong labels (d) add varied examples
14. 14.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
15. 15.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
16. 16.True or false: “ask different people” adds to bias. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) check who is missing (d) copy old unfair choices
18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
19. 19.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
21. 21.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
22. 22.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
23. 23.True or false: “check who is missing” helps reduce bias. (a) True (b) False
24. 24.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) skip testing (d) test on many groups
26. 26.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) balance the data (d) fix wrong labels
27. 27.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
28. 28.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) balance the data (d) skip testing
29. 29.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
30. 30.True or false: “balance the data” adds to bias. (a) False (b) True
31. 31.True or false: “test on many groups” helps reduce bias. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) balance the data (d) ask different people
33. 33.True or false: “use one group only” helps reduce bias. (a) False (b) True
34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
35. 35.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
36. 36.Which of these helps reduce bias? (a) ask different people (b) test on one group only (c) copy old unfair choices (d) add more of the same
37. 37.True or false: “skip testing” helps reduce bias. (a) False (b) True
38. 38.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
39. 39.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
40. 40.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) add varied examples (d) add more of the same

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