AI Bias Worksheet for Kids

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

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