AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 154 · 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.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
2. 2.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
3. 3.🖼️ 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
4. 4.True or false: “skip testing” helps reduce bias. (a) True (b) False
5. 5.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
6. 6.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) add varied examples (d) check who is missing
8. 8.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
9. 9.Which of these helps reduce bias? (a) test on many groups (b) use one group only (c) add more of the same (d) skip testing
10. 10.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) test on many groups (d) skip testing
12. 12.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) use one group only (d) ask different people
14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
15. 15.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
16. 16.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
17. 17.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) ignore complaints (d) copy old unfair choices
19. 19.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on many groups (d) use one group only
20. 20.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
21. 21.True or false: “fix wrong labels” adds to bias. (a) True (b) False
22. 22.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
24. 24.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
26. 26.True or false: “test on many groups” helps reduce bias. (a) True (b) False
27. 27.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) use one group only (d) ask different people
28. 28.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) add more of the same (d) copy old unfair choices
29. 29.True or false: “ask different people” adds to bias. (a) True (b) False
30. 30.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) add varied examples (d) use one group only
32. 32.True or false: “check who is missing” adds to bias. (a) True (b) False
33. 33.Which of these adds to bias? (a) ignore complaints (b) add varied examples (c) test on many groups (d) ask different people
34. 34.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
35. 35.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) copy old unfair choices (d) check who is missing
36. 36.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) ignore complaints (d) copy old unfair choices
37. 37.🔍 Which is the odd one out? (a) add more of the same (b) balance the data (c) ask different people (d) test on many groups
38. 38.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) add more of the same
39. 39.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
40. 40.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

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