AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 999 · 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 screen size (b) the weather (c) its training data (d) its colour
2. 2.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) skip testing (d) check who is missing
3. 3.True or false: “skip testing” helps reduce bias. (a) True (b) False
4. 4.Which of these adds to bias? (a) check who is missing (b) balance the data (c) add varied examples (d) test on one group only
5. 5.Which of these helps reduce bias? (a) skip testing (b) fix wrong labels (c) add more of the same (d) ignore complaints
6. 6.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
7. 7.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
8. 8.True or false: “check who is missing” adds to bias. (a) True (b) False
9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
10. 10.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
11. 11.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
12. 12.True or false: “ignore complaints” adds to bias. (a) False (b) True
13. 13.True or false: “ask different people” adds to bias. (a) True (b) False
14. 14.True or false: “balance the data” helps reduce bias. (a) False (b) True
15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
16. 16.Which of these adds to bias? (a) ignore complaints (b) test on many groups (c) add varied examples (d) ask different people
17. 17.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) balance the data (d) skip testing
18. 18.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
19. 19.True or false: “balance the data” adds to bias. (a) False (b) True
20. 20.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
22. 22.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) ask different people (d) test on one group only
23. 23.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) use one group only (d) ignore complaints
24. 24.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
25. 25.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) test on one group only (d) skip testing
26. 26.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) use one group only (d) add varied examples
27. 27.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
28. 28.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
29. 29.True or false: “test on many groups” adds to bias. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) use one group only (d) ask different people
31. 31.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) add varied examples (d) ignore complaints
32. 32.Which of these adds to bias? (a) test on many groups (b) ask different people (c) fix wrong labels (d) copy old unfair choices
33. 33.True or false: “use one group only” adds to bias. (a) False (b) True
34. 34.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
35. 35.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) check who is missing (d) copy old unfair choices
36. 36.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
38. 38.True or false: “test on many groups” helps reduce bias. (a) True (b) False
39. 39.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
40. 40.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data

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