AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 929 · 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) fix wrong labels (b) check who is missing (c) balance the data (d) use one group only
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
3. 3.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
4. 4.True or false: “skip testing” adds to bias. (a) False (b) True
5. 5.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) copy old unfair choices (d) add varied examples
6. 6.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
7. 7.True or false: “ask different people” adds to bias. (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) ignore complaints (d) add more of the same
9. 9.True or false: “test on one group only” helps reduce bias. (a) True (b) False
10. 10.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
11. 11.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
12. 12.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
13. 13.🖼️ 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
14. 14.True or false: “balance the data” adds to bias. (a) True (b) False
15. 15.Which of these helps reduce bias? (a) add more of the same (b) add varied examples (c) copy old unfair choices (d) use one group only
16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
17. 17.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
18. 18.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
19. 19.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
20. 20.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
21. 21.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
22. 22.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
23. 23.Which of these adds to bias? (a) ask different people (b) ignore complaints (c) test on many groups (d) check who is missing
24. 24.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
25. 25.True or false: “test on many groups” adds to bias. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) test on many groups (d) copy old unfair choices
27. 27.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
28. 28.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) add more of the same (d) copy old unfair choices
29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
30. 30.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) skip testing (d) test on many groups
32. 32.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
33. 33.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
34. 34.Which of these helps reduce bias? (a) test on many groups (b) test on one group only (c) use one group only (d) copy old unfair choices
35. 35.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
36. 36.🗣️ 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) the phone was new (d) it was a rainy day
37. 37.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
38. 38.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
39. 39.Which of these adds to bias? (a) ask different people (b) use one group only (c) test on many groups (d) balance the data
40. 40.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias

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