AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 69 · 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 leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
2. 2.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) skip testing (d) ignore complaints
3. 3.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) copy old unfair choices (d) use one group only
4. 4.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
5. 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
6. 6.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) test on many groups (d) copy old unfair choices
8. 8.True or false: “add varied examples” helps reduce bias. (a) False (b) True
9. 9.True or false: “add varied examples” adds to bias. (a) False (b) True
10. 10.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
11. 11.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) use one group only (d) fix wrong labels
14. 14.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
15. 15.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) fix wrong labels (d) test on many groups
16. 16.True or false: “ignore complaints” adds to bias. (a) False (b) True
17. 17.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
18. 18.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) fix wrong labels (d) ignore complaints
19. 19.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) balance the data (d) add more of the same
20. 20.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
21. 21.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) test on many groups (d) add varied examples
22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
23. 23.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
24. 24.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) test on many groups (d) add varied examples
26. 26.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) fix wrong labels (d) add more of the same
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.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
29. 29.True or false: “balance the data” adds to bias. (a) True (b) False
30. 30.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
31. 31.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
32. 32.Which of these helps reduce bias? (a) fix wrong labels (b) add more of the same (c) copy old unfair choices (d) skip testing
33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
34. 34.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) add varied examples (d) ignore complaints
35. 35.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
36. 36.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
37. 37.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
38. 38.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
39. 39.Which of these adds to bias? (a) add varied examples (b) ask different people (c) test on many groups (d) copy old unfair choices
40. 40.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True

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