AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 864 · 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: balance the data? (a) reduces bias (b) adds to bias
2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
3. 3.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
4. 4.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
5. 5.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
6. 6.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) skip testing (d) add varied examples
7. 7.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
8. 8.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
11. 11.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
12. 12.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) fix wrong labels (d) copy old unfair choices
13. 13.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.True or false: “skip testing” helps reduce bias. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) add varied examples (d) test on many groups
16. 16.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
17. 17.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) fix wrong labels (d) skip testing
18. 18.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
19. 19.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) add varied examples (d) balance the data
21. 21.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
23. 23.True or false: “ignore complaints” adds to bias. (a) True (b) False
24. 24.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
26. 26.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) skip testing (d) balance the data
27. 27.True or false: “test on many groups” adds to bias. (a) True (b) False
28. 28.🔍 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
29. 29.True or false: “add varied examples” adds to bias. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) ask different people (d) test on many groups
31. 31.True or false: “ask different people” helps reduce bias. (a) True (b) False
32. 32.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
33. 33.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) add varied examples (d) use one group only
34. 34.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
35. 35.Which of these helps reduce bias? (a) copy old unfair choices (b) fix wrong labels (c) test on one group only (d) use one group only
36. 36.True or false: “check who is missing” adds to bias. (a) False (b) True
37. 37.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
38. 38.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.Which of these adds to bias? (a) ask different people (b) ignore complaints (c) fix wrong labels (d) add varied examples
40. 40.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True

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