AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 269 · 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.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) add more of the same (d) copy old unfair choices
2. 2.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) skip testing (d) ask different people
3. 3.True or false: “test on many groups” adds to bias. (a) False (b) True
4. 4.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.True or false: “check who is missing” helps reduce bias. (a) True (b) False
6. 6.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
7. 7.True or false: “balance the data” helps reduce bias. (a) True (b) False
8. 8.Which of these adds to bias? (a) test on one group only (b) fix wrong labels (c) check who is missing (d) balance the data
9. 9.Which of these helps reduce bias? (a) check who is missing (b) copy old unfair choices (c) use one group only (d) add more of the same
10. 10.True or false: “test on many groups” helps reduce bias. (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) test on many groups (d) add varied examples
12. 12.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
13. 13.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) test on many groups (d) copy old unfair choices
14. 14.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) test on many groups (d) use one group only
16. 16.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
17. 17.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
18. 18.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
19. 19.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
20. 20.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
21. 21.🗣️ 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
22. 22.Which of these adds to bias? (a) check who is missing (b) ask different people (c) add varied examples (d) copy old unfair choices
23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
24. 24.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
25. 25.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
26. 26.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
27. 27.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
28. 28.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) skip testing (d) fix wrong labels
29. 29.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
30. 30.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
32. 32.True or false: “add varied examples” helps reduce bias. (a) True (b) False
33. 33.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) use one group only (d) balance the data
34. 34.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
35. 35.Which of these adds to bias? (a) add varied examples (b) balance the data (c) ignore complaints (d) ask different people
36. 36.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) test on many groups (d) check who is missing
37. 37.True or false: “ask different people” helps reduce bias. (a) False (b) True
38. 38.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
39. 39.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) balance the data (d) test on many groups
40. 40.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) check who is missing (d) ask different people

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