AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 58 · 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: “test on one group only” helps reduce bias. (a) True (b) False
2. 2.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
3. 3.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) ask different people (d) skip testing
5. 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
6. 6.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) add more of the same (d) ignore complaints
7. 7.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) add more of the same (d) balance the data
8. 8.Which of these adds to bias? (a) balance the data (b) check who is missing (c) copy old unfair choices (d) add varied examples
9. 9.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
10. 10.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
11. 11.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
12. 12.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) test on one group only (d) balance the data
13. 13.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
14. 14.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
15. 15.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
16. 16.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) copy old unfair choices (d) check who is missing
17. 17.True or false: “skip testing” helps reduce bias. (a) True (b) False
18. 18.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
19. 19.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
20. 20.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
21. 21.Which of these helps reduce bias? (a) add more of the same (b) add varied examples (c) copy old unfair choices (d) skip testing
22. 22.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) use one group only (d) skip testing
23. 23.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
24. 24.Which of these helps reduce bias? (a) ask different people (b) copy old unfair choices (c) skip testing (d) ignore complaints
25. 25.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
26. 26.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
27. 27.True or false: “add more of the same” helps reduce bias. (a) True (b) False
28. 28.Which of these adds to bias? (a) add varied examples (b) ask different people (c) test on many groups (d) test on one group only
29. 29.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
30. 30.True or false: “ignore complaints” adds to bias. (a) True (b) False
31. 31.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
32. 32.True or false: “use one group only” adds to bias. (a) True (b) False
33. 33.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
34. 34.True or false: “check who is missing” helps reduce bias. (a) False (b) True
35. 35.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) ask different people (d) balance the data
37. 37.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
38. 38.True or false: “add varied examples” helps reduce bias. (a) False (b) True
39. 39.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
40. 40.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False

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