AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 392 · 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.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
3. 3.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
4. 4.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
6. 6.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
7. 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
8. 8.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) test on many groups (d) fix wrong labels
9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
10. 10.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
12. 12.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
13. 13.True or false: “ask different people” adds to bias. (a) False (b) True
14. 14.Which of these adds to bias? (a) test on many groups (b) ask different people (c) add varied examples (d) skip testing
15. 15.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
16. 16.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
17. 17.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
18. 18.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) ask different people (d) use one group only
19. 19.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
20. 20.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) test on one group only (d) check who is missing
21. 21.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
22. 22.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
23. 23.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) add more of the same (d) copy old unfair choices
24. 24.True or false: “ask different people” helps reduce bias. (a) True (b) False
25. 25.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) test on many groups (d) fix wrong labels
27. 27.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) balance the data (d) add varied examples
28. 28.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) use one group only (d) ignore complaints
29. 29.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) balance the data (d) add more of the same
30. 30.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) test on many groups (d) use one group only
31. 31.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) copy old unfair choices (d) test on one group only
32. 32.True or false: “fix wrong labels” adds to bias. (a) True (b) False
33. 33.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
34. 34.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
35. 35.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
36. 36.🖼️ 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
37. 37.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
38. 38.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.True or false: “test on one group only” adds to bias. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) fix wrong labels (d) use one group only

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