AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 532 · 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: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
2. 2.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
3. 3.Which of these helps reduce bias? (a) ask different people (b) test on one group only (c) skip testing (d) ignore complaints
4. 4.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
5. 5.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
6. 6.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) fix wrong labels (d) check who is missing
7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
8. 8.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
9. 9.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) check who is missing (d) test on one group only
10. 10.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) copy old unfair choices (d) ask different people
12. 12.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) copy old unfair choices (d) ask different people
13. 13.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
14. 14.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
15. 15.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) balance the data (d) add more of the same
16. 16.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
17. 17.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.True or false: “use one group only” adds to bias. (a) False (b) True
19. 19.True or false: “ask different people” helps reduce bias. (a) False (b) True
20. 20.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
21. 21.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) check who is missing (d) test on many groups
22. 22.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
23. 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
24. 24.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
25. 25.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
26. 26.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) fix wrong labels (d) skip testing
27. 27.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
28. 28.True or false: “check who is missing” helps reduce bias. (a) False (b) True
29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
30. 30.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) add more of the same (d) test on many groups
32. 32.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
33. 33.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) add varied examples
35. 35.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) ask different people
36. 36.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
37. 37.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
38. 38.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) balance the data
39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
40. 40.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) check who is missing (d) use one group only

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