AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 842 · 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.🗣️ 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) children speak too fast (d) the phone was new
2. 2.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
3. 3.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
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
5. 5.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
6. 6.True or false: “ask different people” adds to bias. (a) True (b) False
7. 7.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
8. 8.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) test on one group only (d) skip testing
9. 9.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
10. 10.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
11. 11.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) check who is missing (d) skip testing
12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
13. 13.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) ask different people (d) test on many groups
15. 15.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
17. 17.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
19. 19.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) ignore complaints (d) skip testing
20. 20.True or false: “use one group only” adds to bias. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) ignore complaints (d) use one group only
22. 22.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) fix wrong labels (d) check who is missing
23. 23.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
26. 26.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) fix wrong labels
27. 27.Which of these adds to bias? (a) balance the data (b) ask different people (c) check who is missing (d) add more of the same
28. 28.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
29. 29.True or false: “add more of the same” helps reduce bias. (a) True (b) False
30. 30.True or false: “balance the data” adds to bias. (a) False (b) True
31. 31.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.True or false: “test on many groups” adds to bias. (a) False (b) True
33. 33.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) copy old unfair choices
34. 34.True or false: “balance the data” helps reduce bias. (a) False (b) True
35. 35.Which of these helps reduce bias? (a) add varied examples (b) add more of the same (c) use one group only (d) ignore complaints
36. 36.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
38. 38.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) copy old unfair choices (d) add more of the same
40. 40.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size

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