AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 415 · 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.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
2. 2.Which of these adds to bias? (a) add varied examples (b) balance the data (c) check who is missing (d) add more of the same
3. 3.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) ignore complaints (d) test on many groups
4. 4.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
5. 5.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) balance the data (d) ask different people
6. 6.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
7. 7.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
8. 8.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
9. 9.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
10. 10.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
11. 11.True or false: “skip testing” helps reduce bias. (a) True (b) False
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
13. 13.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
14. 14.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
15. 15.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
16. 16.Which of these adds to bias? (a) ignore complaints (b) test on many groups (c) add varied examples (d) check who is missing
17. 17.Which of these adds to bias? (a) copy old unfair choices (b) balance the data (c) check who is missing (d) ask different people
18. 18.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) add more of the same
19. 19.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
20. 20.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) test on one group only (d) use one group only
21. 21.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
22. 22.🗣️ 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) children speak too fast (d) it was a rainy day
23. 23.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
24. 24.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
25. 25.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
26. 26.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
27. 27.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
28. 28.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
29. 29.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
30. 30.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) skip testing (d) ignore complaints
32. 32.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) copy old unfair choices (d) ask different people
33. 33.True or false: “test on one group only” helps reduce bias. (a) True (b) False
34. 34.True or false: “ignore complaints” adds to bias. (a) True (b) False
35. 35.Which of these adds to bias? (a) balance the data (b) use one group only (c) fix wrong labels (d) add varied examples
36. 36.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
37. 37.True or false: “fix wrong labels” adds to bias. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) test on one group only (d) copy old unfair choices
39. 39.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
40. 40.True or false: “test on many groups” adds to bias. (a) True (b) False

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