AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 46 · 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: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
2. 2.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
3. 3.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
4. 4.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
5. 5.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
6. 6.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) test on many groups (d) balance the data
7. 7.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) copy old unfair choices (d) test on many groups
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
10. 10.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
11. 11.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
12. 12.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) ask different people (d) add more of the same
13. 13.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
14. 14.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
16. 16.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) use one group only (d) add more of the same
17. 17.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
18. 18.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) copy old unfair choices (d) add varied examples
19. 19.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
21. 21.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
22. 22.True or false: “test on many groups” helps reduce bias. (a) True (b) False
23. 23.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
24. 24.True or false: “balance the data” adds to bias. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on many groups (d) add more of the same
26. 26.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) ask different people (d) copy old unfair choices
27. 27.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
28. 28.True or false: “add varied examples” adds to bias. (a) False (b) True
29. 29.True or false: “use one group only” helps reduce bias. (a) True (b) False
30. 30.True or false: “ask different people” adds to bias. (a) False (b) True
31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
32. 32.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
33. 33.True or false: “skip testing” adds to bias. (a) True (b) False
34. 34.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
35. 35.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) balance the data (d) ask different people
36. 36.True or false: “add varied examples” helps reduce bias. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) ask different people (d) add more of the same
38. 38.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
39. 39.Which of these adds to bias? (a) fix wrong labels (b) use one group only (c) check who is missing (d) balance the data
40. 40.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False

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